The document discusses the social impacts of developing artificial intelligence. It begins by outlining the methodology used, which involved searching for information on artificial intelligence from digital libraries, books, and websites. It then provides an overview of key concepts in artificial intelligence, including definitions of AI, different approaches to AI, the role of agents, and how agents can act intelligently using knowledge and beliefs. The document also gives examples of applications of AI in fields like medicine, geology, and aeronautics.
The document discusses artificial intelligence and defines it as the automation of intelligent behavior and the study of how to make computers behave intelligently like humans. It describes different types of AI including strong/hard AI that aims to match human intelligence and weak/soft AI that focuses on specific tasks. The document also outlines various approaches to AI, techniques used in AI like logic, search, learning and planning, branches of AI including logical, search and pattern recognition, and applications of AI such as game playing and computer vision.
The document discusses artificial intelligence (AI) and provides definitions, techniques, branches, and applications of AI. It defines AI as creating intelligent machines, especially computer programs, that can think like humans. It discusses representing knowledge to solve problems as an AI technique. Some branches of AI mentioned are logical AI, search, pattern recognition, representation, inference, common sense reasoning, learning from experience, planning, and applications in fields like robotics, natural language processing, and game playing.
Describe what is Artificial Intelligence. What are its goals and Approaches. Different Types of Artificial Intelligence Explain Machine learning and took one Algorithm "K-means Algorithm" and explained
1. The document describes a study that analyzed how people seek health information on the Swedish website Vårdguiden 1177.se using the framework of Activity Theory.
2. Five participants with varying backgrounds performed the task of finding an appropriate clinic to go to based on a scenario. The study examined their interactions through think-aloud protocols and interviews.
3. Preliminary findings showed differences in how quickly participants completed the task, with those more familiar with the Swedish context performing faster. Activity Theory provided a lens to analyze users, their context, tools used, and interactions on the website.
A SOFTWARE AGENT FRAMEWORK TO OVERCOME MALICIOUS HOST THREATS AND UNCONTROLLE...ijait
An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through effectors. Enormous number of researches is going on by comparing the functional similarities of the Human Immune System for making the agents more adaptable in regard with
security. In this research work, the functional similarities of Human Nervous system are given to the agents by proposing an agent-based framework where the agents can adapt themselves from one of the threats, the malicious host attack. The agents become aware of the malicious hosts’ attack by learning and coordination is maintained by a Co-Agent to make this system work successfully. The concept of learning and coordination are taken from the Human Nervous system functionality. This system has shown a better functioning in maintaining the system performance by making the agents aware of malicious hosts and by producing limited number of clones.
This document provides an overview of expert systems and applications of artificial intelligence. It discusses how expert systems use knowledge and reasoning to solve complex problems, and how they are widely used today in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using expert systems to optimize power system stabilizers, for network intrusion protection, improving medical diagnosis and treatment, and enhancing computer games.
Towards which Intelligence? Cognition as Design Key for building Artificial I...Antonio Lieto
The document discusses approaches to building artificial intelligence systems based on human cognition. It argues that AI should focus on high-level cognitive functions like humans exhibit full intelligence. A cognitive AI approach models heuristics and bounded rationality used by humans. The document presents a case study of a common sense reasoning system that integrates heterogeneous conceptual representations like prototypes and exemplars, and uses a dual process of reasoning. The system is evaluated against human responses in categorization tasks with 84% accuracy, providing insights to refine the cognitive theory.
The document discusses artificial intelligence and defines it as the automation of intelligent behavior and the study of how to make computers behave intelligently like humans. It describes different types of AI including strong/hard AI that aims to match human intelligence and weak/soft AI that focuses on specific tasks. The document also outlines various approaches to AI, techniques used in AI like logic, search, learning and planning, branches of AI including logical, search and pattern recognition, and applications of AI such as game playing and computer vision.
The document discusses artificial intelligence (AI) and provides definitions, techniques, branches, and applications of AI. It defines AI as creating intelligent machines, especially computer programs, that can think like humans. It discusses representing knowledge to solve problems as an AI technique. Some branches of AI mentioned are logical AI, search, pattern recognition, representation, inference, common sense reasoning, learning from experience, planning, and applications in fields like robotics, natural language processing, and game playing.
Describe what is Artificial Intelligence. What are its goals and Approaches. Different Types of Artificial Intelligence Explain Machine learning and took one Algorithm "K-means Algorithm" and explained
1. The document describes a study that analyzed how people seek health information on the Swedish website Vårdguiden 1177.se using the framework of Activity Theory.
2. Five participants with varying backgrounds performed the task of finding an appropriate clinic to go to based on a scenario. The study examined their interactions through think-aloud protocols and interviews.
3. Preliminary findings showed differences in how quickly participants completed the task, with those more familiar with the Swedish context performing faster. Activity Theory provided a lens to analyze users, their context, tools used, and interactions on the website.
A SOFTWARE AGENT FRAMEWORK TO OVERCOME MALICIOUS HOST THREATS AND UNCONTROLLE...ijait
An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through effectors. Enormous number of researches is going on by comparing the functional similarities of the Human Immune System for making the agents more adaptable in regard with
security. In this research work, the functional similarities of Human Nervous system are given to the agents by proposing an agent-based framework where the agents can adapt themselves from one of the threats, the malicious host attack. The agents become aware of the malicious hosts’ attack by learning and coordination is maintained by a Co-Agent to make this system work successfully. The concept of learning and coordination are taken from the Human Nervous system functionality. This system has shown a better functioning in maintaining the system performance by making the agents aware of malicious hosts and by producing limited number of clones.
This document provides an overview of expert systems and applications of artificial intelligence. It discusses how expert systems use knowledge and reasoning to solve complex problems, and how they are widely used today in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using expert systems to optimize power system stabilizers, for network intrusion protection, improving medical diagnosis and treatment, and enhancing computer games.
Towards which Intelligence? Cognition as Design Key for building Artificial I...Antonio Lieto
The document discusses approaches to building artificial intelligence systems based on human cognition. It argues that AI should focus on high-level cognitive functions like humans exhibit full intelligence. A cognitive AI approach models heuristics and bounded rationality used by humans. The document presents a case study of a common sense reasoning system that integrates heterogeneous conceptual representations like prototypes and exemplars, and uses a dual process of reasoning. The system is evaluated against human responses in categorization tasks with 84% accuracy, providing insights to refine the cognitive theory.
CS 561a: Introduction to Artificial Intelligencebutest
This document provides an overview and syllabus for a CS 561 Artificial Intelligence course. It introduces key topics that will be covered over the semester including intelligent agents, search, problem solving, logic, knowledge representation, reasoning, and learning. It outlines the course structure, assignments, exams and grading. Administrative details like the instructors, TAs, office hours and course website are also provided.
The document discusses artificial intelligence and provides details about:
- The goals of AI including deduction, reasoning, problem solving, knowledge representation, planning, natural language processing, motion and manipulation, perception, and social intelligence.
- The history and origins of AI research dating back to the 1950s.
- Popular AI programming languages like Lisp and how it is well suited for knowledge representation.
- Categories of AI approaches including conventional symbolic AI and computational intelligence methods.
- Applications of AI in fields like medicine, industry, games, speech recognition, natural language understanding, computer vision, and expert systems.
This document provides an introduction to an artificial intelligence course. The course aims to give students knowledge and understanding of core AI concepts like search, game playing, planning and machine learning. Students will learn how to apply these concepts to construct simple AI systems using a declarative language. The document outlines several core areas of AI including knowledge representation, reasoning, planning, learning, and interacting with the environment. It also discusses the history of AI and provides examples of modern AI applications.
This document provides an overview of artificial intelligence including definitions, concepts, and applications. It defines AI as simulating human intelligence through machine learning and problem solving. Key points include:
- AI systems are designed to rationally achieve goals like humans through learning.
- Knowledge representation and organization is important for efficient searching and reasoning. Common methods include rules, frames, and ontologies.
- Knowledge-based systems combine a knowledge base with an inference engine to derive new understandings and solve complex problems. They are often used to replicate expert knowledge.
Cognitive science is the interdisciplinary study of the mind and its processes. It includes psychology, artificial intelligence, neuroscience, linguistics, and other fields. The document provides an overview of the key topics in cognitive science, including knowledge representation, language, learning, thinking, and perception. It also discusses different approaches like symbolic and connectionist computational cognitive science. The goal of cognitive science is to understand how the mind works by studying representations and processes through various methods like computational modeling.
Artificial Intelligence is advancing throughout the world. According to a study by Creative Strategies, 95% of mobile users are using AI-enabled voice assistance. It is hard to seek out a society that doesn’t use AI techniques. This technique brings numerous uses in a number of ways. It includes decision-making capabilities, diagnosis generation, identifying the connection between causes and consequences, forecasting events, controlling devices like smart sensors, mechanical arms, etc.
https://takeoffprojects.com/ai-based-projects
This document discusses the syllabus for the course CS6659 - Artificial Intelligence. It covers 5 units: (1) introduction to AI and production systems, (2) knowledge representation, (3) knowledge inference, (4) planning and machine learning, and (5) expert systems. It also provides definitions of AI, discusses the history and components of AI, and describes the differences between weak AI and strong AI. The document gives an overview of the key concepts and topics that will be covered in the AI course.
This document provides an overview of an introductory course on Artificial Intelligence. It discusses the learning outcomes, which include gaining knowledge of core AI concepts like search, game playing, knowledge representation, planning and machine learning. It emphasizes using Python to construct simple AI systems and developing transferable problem solving skills. The document outlines that students are expected to attend lectures, supplement with textbook reading, and use references. It also gives a high-level overview of the different perspectives and definitions of what constitutes Artificial Intelligence.
Artificial intelligence - Approach and MethodRuchi Jain
Human natural intelligence is ubiquitous with human activities, such as solving problems, playing chess, guessing puzzles. AI is new mean to solve such complex problems. We NuAIg is a AI consulting firm, who will help you to create a AI road-map for your business and process automation.
This document discusses cognitive informatics, which is the intersection of software engineering and cognitive science. It aims to understand human cognition to improve software design and testing. Three reasons for its importance are improving human-computer interfaces, advancing artificial intelligence by understanding human intelligence, and understanding human memory systems. Challenges include multidisciplinary complexity and domain knowledge requirements. Tools used include brain-computer interfaces, eye tracking, and emotion recognition. Software testing can analyze usability and emotions during use. Software design principles include mimicking real-world problems and accommodating changing users. Examples provided are affective games and tutoring systems that adapt based on inferred user emotions.
About formation of digital environment with smart artificial intelligenceoptljjournal
Intellectual agent ensembles allow you to create digital environment by professional
images with language, behavioral and active communications, when images and communications
are implemented by agents with smart artificial intelligence. Through language, behavioral and
active communications, intellectual agents implement collective activities. The ethical standard
through intelligent agents allows you to regulate the safe use of ensembles made of robots and
digital doubles with creative communication artificial intelligence in the social sphere, industry
and other professional fields. The use of intelligent agents with smart artificial intelligence
requires responsibility from the developer and owner for harming others. If harm to others
occurred due to the mistakes of the developer, then he bears responsibility and costs. If the
damage to others occurred due to the fault of the owner due to non-compliance with the terms of
use, then he bears responsibility and costs. Ethical standard and legal regulation help intellectual
agents with intelligent artificial intelligence become professional members of society. Ensembles
of intelligent agents with smart artificial intelligence will be able to safely work with society as
professional images with skills, knowledge and competencies, implemented in the form of
retrained digital twins and cognitive robots that interact through language, behavioral and active
ethical communications
This document discusses the history and foundations of artificial intelligence. It covers early developments in the 1940s-1950s that led to the birth of AI as a field at the 1956 Dartmouth conference. It describes successes and challenges in the 1960s-1970s, the rise of knowledge-based systems and expert systems in the 1970s, and AI becoming an industry in the 1980s. The return of neural networks in the 1980s-1990s is also summarized. The document outlines different approaches to defining and pursuing AI, including systems that think like humans, think rationally, act like humans, and act rationally. It lists philosophy, mathematics, neuroscience, and other disciplines as foundations of AI.
The document discusses human factors and ergonomics, which aims to optimize human well-being and system performance by understanding the interaction between humans and elements of a system. It covers cognitive ergonomics and how people process information. It also discusses human-centered design and how to design interactive systems based on user needs through methods like contextual design. Finally, it discusses cognitive biases, mental models, memory, perception and various laws and principles of human factors like Fitts' law.
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
The document provides an introduction to artificial intelligence including a brief history and goals. It discusses how AI development began in 1956 with the goal of developing systems that can think and behave like humans. The document defines AI as the process of turning knowledge processing over data processing and teaching machines how to learn, think and decide in order to imitate natural human processes. It also mentions classifying AI research and discusses the Turing test for evaluating machine intelligence.
Artificial intelligence (AI) is defined as making computers do tasks that require human intelligence. AI works using artificial neurons that accept input signals and control contributions based on importance, and using scientific theorems like logic. Machine learning uses algorithms to mimic human intelligence. Some applications of AI include game playing, speech recognition, computer vision, and engineering. AI is needed to supplement human intelligence by doing what humans want, like with robots, and to reduce human labor and mistakes. The future of AI includes more autonomous robots and continued advances in areas like computer vision.
Artificial intelligence (AI) is the study and design of intelligent agents, with no single goal. It aims to put human-level intelligence into machines. The document traces the history of AI from its origins in 1941 to modern applications in areas like military, science, business, and entertainment. It discusses early developments like the Dartmouth conference that defined the field, and the creation of languages like Lisp and Prolog. Future developments may lead to more sophisticated AI in video games, self-governing robot societies, and abilities that surpass humans in games like chess, but this also raises ethical questions about controlling advanced AI.
Artificial intelligence is the study and design of intelligent agents, with no single goal. It aims to put the human mind into computers by developing machines that can achieve goals through computation. The origins of AI began in the 1940s with the development of electronic computers. Significant early developments included the first stored program computer in the 1950s, the Dartmouth Conference which coined the term "artificial intelligence" in the 1950s, and the development of the LISP programming language. In the following decades, AI research expanded and led to applications in fields like expert systems, games, and military systems. While progress has been made, the full extent of intelligence and the future of AI remains unknown.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
CS 561a: Introduction to Artificial Intelligencebutest
This document provides an overview and syllabus for a CS 561 Artificial Intelligence course. It introduces key topics that will be covered over the semester including intelligent agents, search, problem solving, logic, knowledge representation, reasoning, and learning. It outlines the course structure, assignments, exams and grading. Administrative details like the instructors, TAs, office hours and course website are also provided.
The document discusses artificial intelligence and provides details about:
- The goals of AI including deduction, reasoning, problem solving, knowledge representation, planning, natural language processing, motion and manipulation, perception, and social intelligence.
- The history and origins of AI research dating back to the 1950s.
- Popular AI programming languages like Lisp and how it is well suited for knowledge representation.
- Categories of AI approaches including conventional symbolic AI and computational intelligence methods.
- Applications of AI in fields like medicine, industry, games, speech recognition, natural language understanding, computer vision, and expert systems.
This document provides an introduction to an artificial intelligence course. The course aims to give students knowledge and understanding of core AI concepts like search, game playing, planning and machine learning. Students will learn how to apply these concepts to construct simple AI systems using a declarative language. The document outlines several core areas of AI including knowledge representation, reasoning, planning, learning, and interacting with the environment. It also discusses the history of AI and provides examples of modern AI applications.
This document provides an overview of artificial intelligence including definitions, concepts, and applications. It defines AI as simulating human intelligence through machine learning and problem solving. Key points include:
- AI systems are designed to rationally achieve goals like humans through learning.
- Knowledge representation and organization is important for efficient searching and reasoning. Common methods include rules, frames, and ontologies.
- Knowledge-based systems combine a knowledge base with an inference engine to derive new understandings and solve complex problems. They are often used to replicate expert knowledge.
Cognitive science is the interdisciplinary study of the mind and its processes. It includes psychology, artificial intelligence, neuroscience, linguistics, and other fields. The document provides an overview of the key topics in cognitive science, including knowledge representation, language, learning, thinking, and perception. It also discusses different approaches like symbolic and connectionist computational cognitive science. The goal of cognitive science is to understand how the mind works by studying representations and processes through various methods like computational modeling.
Artificial Intelligence is advancing throughout the world. According to a study by Creative Strategies, 95% of mobile users are using AI-enabled voice assistance. It is hard to seek out a society that doesn’t use AI techniques. This technique brings numerous uses in a number of ways. It includes decision-making capabilities, diagnosis generation, identifying the connection between causes and consequences, forecasting events, controlling devices like smart sensors, mechanical arms, etc.
https://takeoffprojects.com/ai-based-projects
This document discusses the syllabus for the course CS6659 - Artificial Intelligence. It covers 5 units: (1) introduction to AI and production systems, (2) knowledge representation, (3) knowledge inference, (4) planning and machine learning, and (5) expert systems. It also provides definitions of AI, discusses the history and components of AI, and describes the differences between weak AI and strong AI. The document gives an overview of the key concepts and topics that will be covered in the AI course.
This document provides an overview of an introductory course on Artificial Intelligence. It discusses the learning outcomes, which include gaining knowledge of core AI concepts like search, game playing, knowledge representation, planning and machine learning. It emphasizes using Python to construct simple AI systems and developing transferable problem solving skills. The document outlines that students are expected to attend lectures, supplement with textbook reading, and use references. It also gives a high-level overview of the different perspectives and definitions of what constitutes Artificial Intelligence.
Artificial intelligence - Approach and MethodRuchi Jain
Human natural intelligence is ubiquitous with human activities, such as solving problems, playing chess, guessing puzzles. AI is new mean to solve such complex problems. We NuAIg is a AI consulting firm, who will help you to create a AI road-map for your business and process automation.
This document discusses cognitive informatics, which is the intersection of software engineering and cognitive science. It aims to understand human cognition to improve software design and testing. Three reasons for its importance are improving human-computer interfaces, advancing artificial intelligence by understanding human intelligence, and understanding human memory systems. Challenges include multidisciplinary complexity and domain knowledge requirements. Tools used include brain-computer interfaces, eye tracking, and emotion recognition. Software testing can analyze usability and emotions during use. Software design principles include mimicking real-world problems and accommodating changing users. Examples provided are affective games and tutoring systems that adapt based on inferred user emotions.
About formation of digital environment with smart artificial intelligenceoptljjournal
Intellectual agent ensembles allow you to create digital environment by professional
images with language, behavioral and active communications, when images and communications
are implemented by agents with smart artificial intelligence. Through language, behavioral and
active communications, intellectual agents implement collective activities. The ethical standard
through intelligent agents allows you to regulate the safe use of ensembles made of robots and
digital doubles with creative communication artificial intelligence in the social sphere, industry
and other professional fields. The use of intelligent agents with smart artificial intelligence
requires responsibility from the developer and owner for harming others. If harm to others
occurred due to the mistakes of the developer, then he bears responsibility and costs. If the
damage to others occurred due to the fault of the owner due to non-compliance with the terms of
use, then he bears responsibility and costs. Ethical standard and legal regulation help intellectual
agents with intelligent artificial intelligence become professional members of society. Ensembles
of intelligent agents with smart artificial intelligence will be able to safely work with society as
professional images with skills, knowledge and competencies, implemented in the form of
retrained digital twins and cognitive robots that interact through language, behavioral and active
ethical communications
This document discusses the history and foundations of artificial intelligence. It covers early developments in the 1940s-1950s that led to the birth of AI as a field at the 1956 Dartmouth conference. It describes successes and challenges in the 1960s-1970s, the rise of knowledge-based systems and expert systems in the 1970s, and AI becoming an industry in the 1980s. The return of neural networks in the 1980s-1990s is also summarized. The document outlines different approaches to defining and pursuing AI, including systems that think like humans, think rationally, act like humans, and act rationally. It lists philosophy, mathematics, neuroscience, and other disciplines as foundations of AI.
The document discusses human factors and ergonomics, which aims to optimize human well-being and system performance by understanding the interaction between humans and elements of a system. It covers cognitive ergonomics and how people process information. It also discusses human-centered design and how to design interactive systems based on user needs through methods like contextual design. Finally, it discusses cognitive biases, mental models, memory, perception and various laws and principles of human factors like Fitts' law.
by Samantha Adams, Met Office.
Originally purely academic research fields, Machine Learning and AI are now definitely mainstream and frequently mentioned in the Tech media (and regular media too).
We’ve also got the explosion of Data Science which encompasses these fields and more. There’s a lot of interesting things going on and a lot of positive as well as negative hype. The terms ML and AI are often used interchangeably and techniques are also often described as being inspired by the brain.
In this talk I will explore the history and evolution of these fields, current progress and the challenges in making artificial brains
From the FreshTech 2017 conference by TechExeter
www.techexeter.uk
The document provides an introduction to artificial intelligence including a brief history and goals. It discusses how AI development began in 1956 with the goal of developing systems that can think and behave like humans. The document defines AI as the process of turning knowledge processing over data processing and teaching machines how to learn, think and decide in order to imitate natural human processes. It also mentions classifying AI research and discusses the Turing test for evaluating machine intelligence.
Artificial intelligence (AI) is defined as making computers do tasks that require human intelligence. AI works using artificial neurons that accept input signals and control contributions based on importance, and using scientific theorems like logic. Machine learning uses algorithms to mimic human intelligence. Some applications of AI include game playing, speech recognition, computer vision, and engineering. AI is needed to supplement human intelligence by doing what humans want, like with robots, and to reduce human labor and mistakes. The future of AI includes more autonomous robots and continued advances in areas like computer vision.
Artificial intelligence (AI) is the study and design of intelligent agents, with no single goal. It aims to put human-level intelligence into machines. The document traces the history of AI from its origins in 1941 to modern applications in areas like military, science, business, and entertainment. It discusses early developments like the Dartmouth conference that defined the field, and the creation of languages like Lisp and Prolog. Future developments may lead to more sophisticated AI in video games, self-governing robot societies, and abilities that surpass humans in games like chess, but this also raises ethical questions about controlling advanced AI.
Artificial intelligence is the study and design of intelligent agents, with no single goal. It aims to put the human mind into computers by developing machines that can achieve goals through computation. The origins of AI began in the 1940s with the development of electronic computers. Significant early developments included the first stored program computer in the 1950s, the Dartmouth Conference which coined the term "artificial intelligence" in the 1950s, and the development of the LISP programming language. In the following decades, AI research expanded and led to applications in fields like expert systems, games, and military systems. While progress has been made, the full extent of intelligence and the future of AI remains unknown.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines different methods of AI such as symbolic AI, neural networks, and computational intelligence. It also discusses a wide range of applications of AI such as finance, medicine, gaming, robotics, and more. Finally, it discusses some achievements of AI and envisions continued growth and importance of AI in the future.
The document provides an overview of artificial intelligence (AI) including definitions, techniques, and challenges. It discusses how AI aims to make computers intelligent like humans by giving them abilities such as perception, reasoning, learning, and problem solving. Some key techniques mentioned are search, knowledge representation, and abstraction. The document also discusses the Turing Test as a proposed method for determining if a machine can think like a human. It provides examples of problems AI aims to solve such as game playing, commonsense reasoning, and perception.
1 1 Abstract—With the advent of the technologicAbbyWhyte974
1
1
Abstract—With the advent of the technological world, the
technology is getting more and more advanced day-by-
day. Artificial Intelligence (AI) can possibly affect pretty
much every part of medical care, from identification to
forecast and anticipation. The appropriation of new
advances in medical services, nonetheless, slacks far
behind the rise of new advances. An elementary
understanding of developing Artificial Intelligence
proceedings can be basic though wellbeing couldn't care
less experts. These advancements incorporate master
frameworks, mechanical cycle robotization, regular
language preparing, Artificial Intelligence, and deepest
understanding. In the research article, different
technologies have been derived for the detection of
different health diseases. First of all, background
knowledge has been taken under consideration. After
that, diseases like Diabetes, Alzheimer’s disease and
health disease have been discussed. It has been evaluated
that technologies are providing extremely efficient results
with higher level of accuracy which shows that the
discussed technologies are contributing at their best level.
The proposed methods for the discussed diseases in
different research articles have also been evaluated and
highlighted. Every technology has its own benefits. The
proposed article illustrate that how Artificial Intelligence
is contributing in healthcare department and in the
detection of different health diseases.
Index Terms— Expert System, Decision making
Support, Artificial Intelligence, Clinical Decision Support
System, Magnetic Resonance Imaging (MRI), Alzheimer’s
Disease
I. INTRODUCTION
A. Artificial Intelligence
Artificial intelligence is how different machines exhibit
intelligence compared to natural intelligence used by different
humans and animals. In simple words, the theory related to
the growth of computer systems to perform tasks usually
needs human intelligence, for instance, visual perceptions,
decision making, translation of languages, and speed
recognition (Fei Jang, 2017). It is known as a digital
computer's capability or called a computer-controlled robot to
execute tasks usually connected with intelligence. This term
AI is applied to those projects related to developing systems
bestowed with factors of human or intellectual processes, for
example, the ability to reason, generalizing, abstracting, learn
from past experiences, or to discover meaning. In the 1940s,
digital computers evolved and came into existence, so from
1940, since now, computers are designed to perform
complicated and complex tasks, for instance, working on
advanced proofs and theorems from mathematical portions as
well as playing chess. Despite continued advances in the
speed of computer processing and memory capacity still, there
is a gap in programming that they cannot be as flexible as
human beings. This system is ...
1
1
Abstract—With the advent of the technological world, the
technology is getting more and more advanced day-by-
day. Artificial Intelligence (AI) can possibly affect pretty
much every part of medical care, from identification to
forecast and anticipation. The appropriation of new
advances in medical services, nonetheless, slacks far
behind the rise of new advances. An elementary
understanding of developing Artificial Intelligence
proceedings can be basic though wellbeing couldn't care
less experts. These advancements incorporate master
frameworks, mechanical cycle robotization, regular
language preparing, Artificial Intelligence, and deepest
understanding. In the research article, different
technologies have been derived for the detection of
different health diseases. First of all, background
knowledge has been taken under consideration. After
that, diseases like Diabetes, Alzheimer’s disease and
health disease have been discussed. It has been evaluated
that technologies are providing extremely efficient results
with higher level of accuracy which shows that the
discussed technologies are contributing at their best level.
The proposed methods for the discussed diseases in
different research articles have also been evaluated and
highlighted. Every technology has its own benefits. The
proposed article illustrate that how Artificial Intelligence
is contributing in healthcare department and in the
detection of different health diseases.
Index Terms— Expert System, Decision making
Support, Artificial Intelligence, Clinical Decision Support
System, Magnetic Resonance Imaging (MRI), Alzheimer’s
Disease
I. INTRODUCTION
A. Artificial Intelligence
Artificial intelligence is how different machines exhibit
intelligence compared to natural intelligence used by different
humans and animals. In simple words, the theory related to
the growth of computer systems to perform tasks usually
needs human intelligence, for instance, visual perceptions,
decision making, translation of languages, and speed
recognition (Fei Jang, 2017). It is known as a digital
computer's capability or called a computer-controlled robot to
execute tasks usually connected with intelligence. This term
AI is applied to those projects related to developing systems
bestowed with factors of human or intellectual processes, for
example, the ability to reason, generalizing, abstracting, learn
from past experiences, or to discover meaning. In the 1940s,
digital computers evolved and came into existence, so from
1940, since now, computers are designed to perform
complicated and complex tasks, for instance, working on
advanced proofs and theorems from mathematical portions as
well as playing chess. Despite continued advances in the
speed of computer processing and memory capacity still, there
is a gap in programming that they cannot be as flexible as
human beings. This system is ...
1 1 abstract—with the advent of the technologicabhi353063
The document discusses how artificial intelligence is contributing to healthcare, particularly in the diagnosis of diseases like diabetes, Alzheimer's, and heart disease. It provides background on AI and discusses how techniques like expert systems, machine learning, and medical imaging are being used to more accurately diagnose diseases. Segmentation of MRI images through techniques like clustering and edge detection have proven useful for detecting Alzheimer's disease. Electronic health records also provide useful health information for treating diseases.
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
This document provides an introduction to knowledge representation in artificial intelligence. It discusses how knowledge representation and reasoning forms the basis of intelligent behavior through computational means. The key types of knowledge that need to be represented are defined, including objects, events, facts, and meta-knowledge. Different types of knowledge such as declarative, procedural, structural and heuristic knowledge are explained. The importance of knowledge representation for modeling intelligent behavior in agents is highlighted. The requirements for effective knowledge representation including representational adequacy, inferential adequacy, inferential efficiency, and acquisitional efficiency are outlined. Propositional logic is introduced as the simplest form of logic using propositions.
The document discusses artificial intelligence (AI) and provides definitions, goals, techniques, branches, applications, and vocabulary related to AI. It defines AI as the study of how to make computers do things that people do better, such as problem solving, learning, and reasoning. The document outlines science and engineering based goals of AI and discusses techniques like knowledge representation, learning, planning, and inference. It also lists common branches of AI including logical AI, search, pattern recognition, and learning from experience. The document provides examples of AI applications and concludes with a discussion of knowledge representation techniques.
This document provides an overview of artificial intelligence and discusses several key concepts:
1. It defines AI as making computers do things that people do better and discusses the goal of constructing a theory of intelligence.
2. It outlines several early AI problems and techniques like game playing, theorem proving, and expert systems.
3. It discusses challenges like natural language processing, computer vision, and commonsense reasoning that require extensive knowledge to solve.
4. It provides examples of AI techniques like symbolic representation, knowledge bases, and algorithms for solving problems like tic-tac-toe.
This document provides lecture notes on soft computing techniques. It covers four modules:
1) Introduction to neurofuzzy and soft computing, including fuzzy sets, fuzzy rules, fuzzy inference systems
2) Neural networks, including single layer networks, multilayer perceptrons, unsupervised learning networks
3) Genetic algorithms and derivative-free optimization
4) Evolutionary computing techniques like simulated annealing and swarm optimization.
The document discusses key concepts in soft computing like fuzzy logic, neural networks, evolutionary algorithms and their applications in areas like control systems and pattern recognition. It also provides references for further reading.
The document provides an introduction to artificial intelligence, including:
1) Definitions of AI as the study of making computers intelligent like humans through techniques like problem solving, learning, reasoning, and perception.
2) Examples of different AI techniques for representing knowledge to solve problems like tic-tac-toe, with increasing complexity.
3) Branches and applications of AI like expert systems, machine learning, computer vision and natural language processing.
The document provides an introduction to artificial intelligence including:
- Definitions of AI as the study of making computers intelligent like humans through techniques like problem solving and learning.
- Branches of AI including logical AI, search, pattern recognition, representation, inference, common sense reasoning and learning from experience.
- Applications of AI in areas like perception, robotics, natural language processing, planning, and machine learning.
- Techniques used in AI like knowledge representation and different approaches to problems like tic-tac-toe and question answering with increasing complexity.
The document provides an introduction to artificial intelligence (AI), including:
1) Defining AI as designing intelligent systems and examining different views on what constitutes intelligence.
2) Describing typical AI problems like object recognition, language processing, and games, noting that expert tasks are now solvable by computers but common tasks remain challenging.
3) Discussing the practical impact of AI and different approaches like strong AI, weak AI, applied AI, and cognitive AI.
4) Noting the current limits of AI in areas requiring common sense knowledge or understanding unconstrained natural language.
Artificial Intelligence
Navya Reddy Karnati (556139)
Venkateshwara Reddy Allu (559524)
Savan Ramparaiya (554616)
Sreehasha sunkara (548576)
Sai Venkat rathan Ravula (550732)
BA63473H4
Introduction:
Artificial intelligence is a new development platform which is able to make tasks with human intelligence. Artificial intelligence plays an important role in coming future to make things much faster without human force. There are lot of advantages using the artificial intelligence. Here the advantages below explained in detail. Here are the examples AI can perform tasks like visual identification, speech recognition, making the decisions and language translations.
Before knowing more about the Artificial intelligence, we need to know about the intelligence, types and components of intelligence.
What is Intelligence?
it is an ability to perform a task or an activity to learn from the experience, store and retrieve information from memory, resolve issues and adopt new situations. There are different types of intelligence detailed in below.
Here are the types below. Linguistic intelligence, Musical intelligence, logical mathematical intelligence, spatial intelligence, Bodily-Kinesthetic intelligence , Intra-personal intelligence, Interpersonal intelligence.
There are more real life examples with use of Artificial intelligence. One of the famous motor company TESLA has announced self-driving cars that are going to drive with using human intelligence so person may not be needed to drive any vehicle. This is the most trending innovation with the help of artificial intelligence. Another important feature here is Navigation System. This is also an important feature that helps us to reach any destination with the help artificial intelligence. With the help of artificial intelligence designing robots which will he be helpful to control terrorist attacks without human force. Robots can be much helpful for the military. Google is also working on the artificial intelligence feature which will be helpful to the public in the form of providing benefits to the common people. There are several google applications everybody is using in today’s world like google maps, drive for sharing the data in the cloud and securing the data and back up the data. To conclude there are many more advantages using the artificial intelligence which can perform the tasks with human intelligence and also explained the real time examples detailed above.
Here are some weak points about the Artificial intelligence. The most weak point about the machine learning is , machines with weak Artificial intelligence are made to respond to specific situations but cannot think for themselves. On the other hand, there are more points about the artificial intelligence. A machine with strong Artificial intelligence is able to think and just act like a human which is an extra ordinary thing. The best real time example here is how the Hollywood movies can have portrayed their movies wi.
Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
This document provides an overview of artificial intelligence techniques. It begins with definitions of AI and discusses branches of AI like logical AI, search, pattern recognition, knowledge representation, inference and more. It also discusses AI applications, problems in AI and the levels of modeling human intelligence. Several examples are then provided to illustrate increasingly sophisticated AI techniques for playing tic-tac-toe and answering questions to demonstrate moving towards knowledge representations that generalize information and are more extensible.
The document discusses artificial intelligence (AI) and its key concepts. It begins by explaining how computers have grown more capable over time due to advances in AI. AI aims to create machine intelligence comparable to human intelligence. The document then discusses definitions of intelligence, the philosophy behind creating machine intelligence, goals and applications of AI like gaming, language processing and robotics. It also covers concepts important for AI like reasoning, learning, problem solving, perception and linguistic intelligence.
This document provides an overview of artificial intelligence (AI). It defines AI as the science of developing methods to solve problems usually associated with human intelligence. The document discusses different definitions and visions of AI, including thinking and acting like humans, thinking and acting rationally, and modeling human thinking through computational models. It also covers the history of AI from its origins in the 1940s to recent successes, as well as related fields and main areas of AI research like machine learning, robotics, and natural language processing.
The document provides an overview of artificial intelligence, including definitions, key concepts, and applications. It defines AI as the simulation of human intelligence in machines, and notes the differences between weak/narrow AI which focuses on specific problems, versus strong/general AI which aims to achieve human-level intelligence. The document also discusses how AI works by trying to think and act well, and by attempting to think and act like humans. It provides examples of AI application areas and practical tools used today.
This document provides an introduction to various concepts related to artificial intelligence including data, information, knowledge, and intelligence. It defines AI as making computers do things that people do better. The document discusses problems in AI like game playing, theorem proving, and commonsense reasoning. It presents the physical symbol system hypothesis which claims that a symbol system is necessary and sufficient for general intelligence. The document also discusses production systems, the Turing test, and gives an example of solving the water jug problem through representing it as a state space search.
This document discusses different definitions and approaches to artificial intelligence (AI). It begins by defining AI as helping machines solve complex problems like humans by applying human-like algorithms. It then discusses AI's links to other fields and its history. The rest of the document explores definitions of AI and different goals or approaches in AI research, including systems that think or act like humans and systems that think or act rationally. It focuses on the Turing Test approach of acting humanly and the cognitive modeling approach of thinking humanly by modeling human cognition.
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Impacto social del desarrollo de la Inteligencia artificial(Ingles)
1. Development of artificial intelligence 1
SOCIAL IMPACT OF THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE
KEREN ARADI MARTÍNEZ HERRERA,
CRISTHIAN JOAQUIN CONTI SÁNCHEZ
INSTITUTO TECNOLÓGICO DE TUXTEPEC
Date: May 26th 2014
2. Development of artificial intelligence 2
Keywords
IMPACT
ARTIFICIAL INTELLIGENCE
SOCIETY
DEVELOPMENT
3. Development of artificial intelligence 3
Abstract
Rapid technological advances have enabled man to play in a more efficient manner,
which has been a profound change in the instrumentation of society, and consequently
leads to new models of production and social transformation. The benefits that entails
counting with sophisticated machines capable of taking orders and activities which call
exactly thinking machines (intelligent systems ) . However progress is more than
technological innovation and industrialization, it will more closely linked to the
development of fundamental human freedoms , including economic social freedoms .
The advantages it brings to have an artificial assistant are nothing more than solve
the errors and flaws inherent in human beings , that is to say, the development of expert
systems nowadays are being used successfully in the fields of medicine, geology and
aeronautics although they are still less advanced in relation to the full product ideal IA .
Currently humanity finds itself in a new era, in which the physical and mental work is
less important as it is being replaced by the industrial revolution and the computer.
4. Development of artificial intelligence 4
Introduction
Technological changes, from ancient times, had generally tended to facilitate human
work, replacing physical force by mental ability and intelligence of workers. At present,
the development achieved by computer products also tend to replace more routine and
mechanics of human mental activity work computers part.
Artificial intelligence is a branch of the current knowledge related to computer science
that positively and negatively affects all members of society, from this issue can explain
the relationship technology, science and society taking several points of view.
That's why through this article, is to conduct an investigation where the results produced
show us a panorama of what the impact caused by the artificial intelligence in society,
and their advantages and disadvantages.
5. Development of artificial intelligence 5
Methodology.
The methodology used was the method of information search in artificial intelligence
engaged, supported and reinforced with first-hand information obtained from searches in
digital libraries, books and sites.
Searching for information is a set of operations that are intended to make available to
users, information that answers their questions.
When we speak of scientific information we refer to that which has been assessed by
specialists in the field and validated by the scientific community. According to the
amount of research done or the type of information needed , library research will have to
be more or less complete .
It is also useful to know the sources of information you should and / or can investigate.
According to the type of information they contain and how it is structured can be
distinguished:
• Books
• Scientific Journals
• PhD Thesis
• Grey literature (reports or internal reports not published commercially) .
• Patents
These information sources are often called primary contain original information. Your
goal is to communicate the results of knowledge and creation. Can be found in different
formats, whether in print, including books, magazines. Or in special formats such as
CDs, digital files.
6. Development of artificial intelligence 6
Chapter 1. Artificial Intelligence
1.1 . What is Artificial Intelligence?
The AI is the branch of science that deals with the study of artificial intelligence
elements, from the point of view of engineering , proposes the creation of elements that
possess intelligent behavior. Put another way , the AI aims to build systems and
machinery presenting behavior that if it were done by a person , it seems that 's smart.
Learning, adaptability to changing environments , creativity , etc. . , Facets are usually
related to intelligent behavior .
Also, the AI is very interdisciplinary , and it involved disciplines as varied as
neuroscience , Psychology, Information Technology , Cognitive Science , Physics ,
Mathematics, etc. . ( Juan Jesus Romero , 2007)
With respect to current definitions of artificial intelligence (AI ) authors like Rich & Knight
[ 1994 ] , Stuart [ 1996 ] , who generally defined AI as the ability of machines to perform
tasks at the moment are found made by human beings; other authors as Nebendah [
1988 ] , Slim [ 1998 ] shed more complete definitions and define how the field of study
that focuses on the explanation and emulation of intelligent behavior in terms of
computational processes based on experience and ongoing knowledge environment. (
Marin, 2008)
1.2 . Approaches to artificial intelligence .
You can define two views or approaches to IA , a technological point of view or
engineering and scientific standpoint .
7. Development of artificial intelligence 7
On the one hand , the engineering branch seeks to create computer systems that
perform tasks for which intelligence is needed. This approach is pursued for solving
specific problems , without limiting techniques to use to those used by intelligent beings.
Moreover, the scientific branch of the IA can be defined as "the study of intelligent
behavior , and its finally get a theory of intelligence that explains the behavior that
occurs naturally intelligent beings , and to guide the creation of entities able to achieve
this artificial intelligent proceed. " ( Gomez , 2000)
Classical techniques from the technological point of view have been relatively successful
, and their products ( Expert Systems , Knowledge Based , Systems etc. . ) Are widely
used . The main technical problem is that you are not able to adapt to the changing
environment and must have an explicit knowledge of the problem to address it
successfully. These systems have to be programmed and can not self-program and thus
adapt to new environmental requirements . To resolve this problem, we have developed
various computational approaches globally known as Adaptive Techniques [1 ] . ( Juan
Jesus Romero , 2007)
Adaptive techniques [ 1] are those that, applied to a problem, they are able to continue to
function properly despite changing environmental circumstances .
8. Development of artificial intelligence 8
1.3 . Agents .
Within the artificial intelligence and their implementations interact with her agents ,
where David Poole says that an agent is something that acts in an environment . An
agent may , for example, be a person, a robot, a dog , a worm , wind , gravity, a lamp or
a computer program that buys and sells .
Intentional agents have preferences . They prefer some states of the world to other
states, and act to try to reach more states preferred. Unintended agents are grouped
and called nature. Whether or not an agent is intentional is an assumption that may be
patterned or not be appropriate . For example , for some applications it may be
appropriate to model a dog as intentional, and for others, it may be sufficient to model a
dog as unintentional.
If an agent has no preference , by definition , no matter what the world ends in the state
, so that no matter what he does. The only reason is to design an agent with preferences
instill - prefer to make some states of the world and try to achieve them. An agent does
not have to know your preferences . For example , a thermostat is an agent that detects
the world and become a heater on or off. There are preferences embedded in the
thermostat to keep the occupants of a room at a comfortable temperature , even though
the thermostat arguably does not know their preferences . The preferences of an agent
are often designer preferences of the agent, but an agent can sometimes give objectives
and preferences at run time . ( David Poole , 2010)
1.4 . Agents : How to act with reason ?
An agent has been a belief that remains over time . For an intelligent agent , the state of
beliefs can be very complex , even for a single layer. The experience in the study and
construction of intelligent agents has been shown that an intelligent agent requires some
internal representation of its belief state.
9. Development of artificial intelligence 9
Knowledge is information about a domain that is being used to solve problems in that
domain. Knowledge can include general knowledge that can be applied to particular
situations. Therefore, it is more general beliefs about a specific state.
A knowledge-based system is a system that uses knowledge about a domain to act or to
solve problems.
Philosophers have defined knowledge as true, justified belief . AI researchers tend to
use the terms knowledge and belief interchangeably more . Knowledge tends to mean
the general information that is taken to be true.
Belief tends to mean information that can be revised based on new information . Often
come with beliefs measures how much should be believed and models of how beliefs
interact.
In a system of artificial intelligence, knowledge is often not necessarily true and is
justified only to be useful . This distinction is often blurred when an agent module can
treat any information as true, but another module may be able to review that information.
( David Poole ,
2010)
Fig.1.4.1. Decomposition of online agent
10. Development of artificial intelligence 10
Figure 1.4.1 shows a refinement for a knowledge-based agent. A knowledge base is
built offline and online is used to produce actions. This decomposition of an agent is
orthogonal to the view of layers of an agent ; an intelligent agent requires both the
hierarchical organization and knowledge bases . ( David Poole , 2010)
1.5. Applications of Artificial Intelligence .
Applications are widespread and diverse and include medical diagnostics , factory
processes programming robots for hazardous environments , play games , autonomous
vehicles in space, translation systems and natural language tutoring systems , among
others as David Poole says. ( David Poole , 2010)
Instead of treating each application separately , we abstract the essential features of
this type of applications for studying the principles behind intelligent reasoning and
action.
Scientists have dreamed of for years to get machines that could react with the
environment , similar to how humans do so . The classifier systems " with learning " or
Learning Classifier Systems ( LCS hereinafter ) can be considered as an approximation
with AG learning from interaction with the environment.
In general, an LCS takes a set of inputs and produces a set of outputs which indicate a
certain classification of inputs . A LCS "learns" how to classify its inputs. This often
involves "show " the system many examples of input patterns and their corresponding
correct outputs .
This technique may be located at an intermediate point between Genéticos2
Conexionistas3 Algorithms and Systems . ( Juan Jesus Romero , 2007)
11. Development of artificial intelligence 11
Genetic algorithms [2] Proposed by John Holland as an abstraction of biological evolution, rather
than as an optimization technique.
Connectionist systems: [3] When two processes are active brain with together or when there is
an immediate succession, one of them tends to propagate the excitation to the other.
Chapter 2. Impact of artificial intelligence on society.
2.1. Social impact of the development of IA .
In our present humanity is at a time when our work both physical and mental , is
somehow " less important " as it is being replaced by the industrial revolution and
especially by computers, in conjunction with artificial intelligence (AI ), is hogging much
of the work we do humans, since with the use of machines greater accuracy and
precision is obtained in the processes or tasks of an activity , as such , are used with
more frequently in areas such as medicine , industry, mechanics, home use telephones.
However, many times we find ourselves in situations where people confuse the concept
of Artificial Intelligence as through television , film , etc. . , We note that " future years"
people occupy flying cars , robots performing all necessary activities within the
workspace, among others; but the reason is not only involved in these aspects such as
artificial intelligence and they are currently using. ( Antonio Lopez Pelaez , 2005)
Such as within the artificial intelligence we can see smart homes targeted by the
Automation which are integrated systems using a network of automated mechanisms.
Interfacing with various devices using infrared , radio frequency , metallic supports ,
among others.
That hallway lights are activated to pass without pressing any switch, turn the heat using
a simple phone call, generate alarms when intruders are not home, the electric stove is
turned off automatically program the irrigation system you monitor the status of lights
and shades through the television with a remote control from any phone and this without
12. Development of artificial intelligence 12
requiring any effort but simply a machine who is able to receive orders and act without
protest , complaints , anger , go to if it is a breakthrough.
So close IA society know that every day a new aspect of the computer either by the
mass media is , specialized or just everyday experiences and reading is very common
that we find terms whose meaning is us unknown.
Definitely robotics have a strong impact on society , generating a transformation of the
meaning and value of the work itself . Automation and robotics tasks (including
household ) would bring with it new behaviors recreational, leisure time and changes in
interpersonal relationships. ( J. , 2004 )
Likewise , the extensive use of robots probably affect work patterns and business
organization, as companies will adapt to take advantage of the full potential of robotic
systems . Higher unemployment , lower demand for skilled labor , riots and union
demands would be unavoidable challenges posed new stage.
To imagine the severity of the consequences , just consider the evolution of the
phenomenon predicted by experts in automation and advanced robotics . He estimates
that by the year 2042 is expected an estimated 80% automation of all activities and in all
sectors, both economic and social - globally. ( J. , 2004 )
The International Federation of Robotics suggested that stock market growth is
concentrated in the U.S. and Europe. They forecast between 1998 and 2002 , growth in
sales of industrial robots in Europe would exceed 10 % per year and in 2002 will reach a
45% increase over the number of robots have been installed in 1998. Also indicated that
the number of robots in operation would continue to grow in the near future and robots
density (measured as the number of robots in operation per 10,000 workers ) grow in all
13. Development of artificial intelligence 13
European countries. Simultaneously, the cost of robots would fall, while its versatility
and capabilities continue to expand. ( Gomez , 2000)
2.2 . Relations of artificial intelligence .
Artificial intelligence is related to :
• Heuristics .
• Intelligent Systems .
• Machine Vision .
• Natural Language Processing .
• Neural Networks.
• Robotics .
• Search .
• Planning.
Heuristics . The heuristic is the analysis and extrapolation of data based on past
experience and its consequences , this section is of vital importance for the internal AI in
computer games.
Expert Systems . An expert system can be defined as a knowledge-based thinking that
mimics an expert to solve a particular field of application system.
One of the main features of expert systems is that they are rule-based , ie , contain
predefined knowledge used to make all the decisions .
14. Development of artificial intelligence 14
Neural networks. Neural networks are inspired by the functionality of biological neurons
devices applied to the recognition of patterns that make them suitable to model and
make predictions in complex systems.
Robotics . They are machines controlled by computers programmed to move,
manipulate objects and enhance work while interacting with its environment. Robots are
able to perform repetitive tasks faster, cheaper and more accurately than humans . (
Marin, 2008)
Home Automation . The Larousse Encyclopedia Automation defines as: "the concept of
home automation that integrates all the security , energy management ,
communications, etc. .
The term " science " used to describe the part of the technology ( electronics and
computers ), which integrates the control and supervision of the existing elements in an
office building or in a residential or just any home. Also, a very familiar term to all is "
intelligent building " although come to refer to the same thing , we tend to apply more
generally to the field of large office blocks , banks, universities and industrial buildings .
In the field of technology is a breakthrough in artificial intelligence by being able to put
together various sciences to create a machine to "think " , and robotics also because it
integrates both mechanical, electronic and computer engineering with social sciences,
with the only achieve a benefit for humanity by creating a machine that can interpret the
language , human orders, etc. .
And finally the economic sphere , these technologies require a lot of money , because
art technologies are needed. All money invested recover over time with the inclusion of
the machinery in the new industries as these technologies are produced en masse for
public sale . (Peter, 2003)
15. Development of artificial intelligence 15
2.3 . Consequences of Artificial Intelligent Systems for human society .
The widespread use of artificial intelligent systems will bring prosperity and welfare to
the population of our planet. Intelligent systems such as robots, intelligent automation
and counseling programs within computers , all the work will not want to do. Be free
from material concerns and we can enjoy life .
But this is a new "industrial revolution" and the transition of our society from a work-
based society, one in which human labor is of little importance and in which much time
will have to be handled carefully . Widespread unemployment can be avoided by
spreading the available work among all who are willing to work . The proposed method
is a reduction of weekly working hours . Finally, the work week will be so low that one
has to be found distinct mechanism of revenue and maintain purchasing power . This
may be the "social dividend" . Every citizen of the state and shareholders would receive
a monthly dividend . Funding for this would come primarily from the proceeds of the
robotic factories. ( David Poole , 2010)
Would the robots a threat to humanity? A robot with the primary objective of satisfy
humans would be helpful , but a robot whose main objective would be to their own
survival would be very dangerous . Since I think much faster and more accurately we
will use all available resources for their own purposes , and we would be helpless . Such
a robot must be illegal and must be destroyed as soon as it is detected .
Some theorists warn that the increasing incorporation of robots lead us toward an
economy and a more polarized society .
The view of the experts is that there would be a significant number of changes that
would take place on a relatively short time , which would increase the problem of
adaptation to a wide range of workers.
It would be difficult for workers with low levels of quantification or improper conformation
to fill jobs that require the skills and flexibility to adapt to changing technological contexts
in a period as short as that time is provided for automation of 50 % of all activities in
16. Development of artificial intelligence 16
many industrial fields. The fall in employment as a result of new production systems and
robot-based services could lead to a society in which many people were not able to find
a job.
The emerging society will not be a leisure society . While there is forced inactivity for
many , revenues depend mainly paid work , placing a significant leisure away from the
unemployed. This would result in a dual society in which not only a large number of
people would be unable to find work but also many workers would have to endure a
reduced job security in the most demanding jobs . In this scenario , the division between
a secure and well-paid and insecure minority most likely to cause social tensions. (
Antonio Lopez Pelaez , 2005)
2.4 . Economic Effects.
The massive presence of expert systems will lead to a new economic revolution . This
revolution has already begun with the use of computers. But it will be some time yet
before we have truly intelligent , they are cheap and all-purpose robots . By then we can
expect a new economic revolution occurs.
Similarly as in the first economic revolution , many jobs will become obsolete , people
have to be relocated to other jobs and daily working hours will be reduced. In the past,
the newly invented spinning machines , the manual spinning replaced . By inventing
cars horses , stables and car manufacturing were replaced . But because of the
inventions and technological changes , today live better than people 200 years ago. (
Juan Jesus Romero , 2007)
In the cities of prosperous nations , the current average life is much better than the
fabulously wealthy King Louis XIV of France. For example, the king had no central
heating in his palace , had only an open fireplace. Read by the light of flickering candles
. I could not turn on the light in any room or hallway. If you wanted hot water, had to call
a servant to the look and had to wait. We opened the faucet. When I wanted to listen to
17. Development of artificial intelligence 17
music, had to convene an orchestra. We press the button of the electronic equipment ,
whether it's radio, television or whatever. Messages are sent via horse and responses
hour or a month later received . We got up the phone and immediately talk with anyone
on earth. All these differences are a result of the technology ; the ever growing support
machines give us, humans.
It seems that , ultimately , at the end of this economic revolution , work, meaning by this
a paid activity , decrease rapidly or more will no longer exist . People will be engaged in
what they like , but might not bother to ask for compensation for their efforts. Robots,
smart mobile systems , along with intelligent general purpose machines, provide all the
material they need. ( J. , 2004 )
2.5. Using intelligent systems thinking .
Once intelligent systems work even better, can certainly think much faster than humans
( its internal clock has millions of cycles per second) and will be more accurate to think.
We humans often confuse concepts or concepts have very inaccurate .
Once the Intelligent Systems in computers have been in use for many years, their
concepts should be very precise and very detailed . We can easily copy the structure of
concepts and rules of conduct for all new systems.
So we can see that eventually , computers can think much better and much faster than
what humans can never do . But they are still machines , we will indicate their goals ,
they do not give us the goals .
Computers like that will be helpful to humans in our daily activity. The can be informed of
everything that happens to us, by means of sensors we carry, and they can give us very
expert advice . And this will make our choice of objectives and our activities are much
more effective. ( Antonio Lopez Pelaez , 2005)
18. Development of artificial intelligence 18
Results
The development of technologies has been throughout history the modernizing element
of the productive apparatus of society. However, we must not fall into an exaggerated
optimism to think that the mere introduction of these technologies automatically produce
the miracle of transforming the quality of life. There is currently a mismatch between the
organization of our societies and the expectations generated by the recognition of our
own technological capabilities.
We live in futuristic societies of the past, excessive, misunderstood, enigmatic and fed
by a development that we can´t assimilate expectations, as it occurs faster than our
social evolution. Balance is achieved only when the social transformations with scientific
and technological advance healthy nature, not in permanent opposition to artificial
intelligence will.
Also, making a small display in the future, it becomes clear that the impact will be
different telecommunication services , computer and especially artificial intelligence or
intelligent systems are linked to these developments in the lives of the citizens will be
increasingly important .
The internet is getting faster , television will be digital and interactive , new entrants offer
interesting alternatives to basic telephony , home automation enter fully into homes, and
through intelligent systems brought some already underway in medicine , industry,
agriculture and other branches .
Within society in general Artificial Intelligence is a science that causes greater impact ,
machine learning , resulting important the process of making intelligent behaviors , a
system to improve its behavior on the basis of the experience through the process of
repetitive tasks and also have a notion of what is wrong and you can avoid it, is very
interesting .
19. Development of artificial intelligence 19
Perform the development of this article based on the impact that causes artificial
intelligence in society is a very important issue, since different societies have now
changed the way they live, how they communicate and how perform their work and
activities of daily living; is worth mentioning that only in Mexico, it is estimated that
approximately 80 % of households have one or more cell phones. In addition, 37% of
households own at least one “smart" technology.
Within the development and implementation of intelligent technologies that begin
occurring in daily activities and occupations, then find an extracted graph where LIAA
Laboratory identifies what part of society thinks about the technologies implemented in
artificial intelligence.
Picture 1.
The graphical image 1 was conducted a survey with people between ages 15 to 50
years, in 2013. As shown 60% of people think that the implementation of artificial
intelligence is favorable, since they agree to be implemented within their activities, 35%
disagree with the use of artificial intelligence in its activities, and 5% said not interested
in this issue, or whether or not to use these technologies.
in agreement,
60%
counter, 35%
I do not care, 5%
IMPLEMENTATION OF HUMAN ACTIVITIES IA
20. Development of artificial intelligence 20
The graph above is just an example that reflects the impact that we presented to
the society the use of artificial intelligence, have technologies available to society in
general. And to finish off this article also found that even though there are people who
oppose or " fear " the inclusion of technologies and artificial intelligence in the various
branches that were mentioned, most of society is in the best position and a power open
to achieve that balance between the use of artificial intelligence to human activities that
until today are performed today mentality.
21. Development of artificial intelligence 21
Discussion
Within the general society of artificial intelligence is a science that cause greater impact
to people is, machine learning , being important the process of making intelligent
behaviors that a system can improve their behavior based on experience through the
process of repetitive tasks and also have a notion of what is wrong and you can avoid it
is very interesting , that in the workplace that many people come to use in the future.
From these intelligent behaviors that they will present machines or robots in the
future, is what society fears they will be or displaced from their work places sit , and thus
affecting its economy , as the including those machines in industry, schools, homes ,
hospitals, etc. . Becomes the future .
It is for this reason that major simultaneously in which these technologies are
evolving with the use of artificial intelligence , likewise evolve our society . Finding a
balance between the activities , tasks , decisions, among others, that made human and
that can be performed by intelligent machines people.
22. Development of artificial intelligence 22
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Areces.
J., R. S. (2004). Inteligencia artificial: Un enfoque moderno. España: Prentice Hall.
Lopez Pelaez Antonio, K. M. (2005). New Technologies and New Migrations: strategies
to enhance social. Europa: The IPTS.
Marín, R. (2008). Inteligencia Artificial y Sistemas Inteligentes. McGraw-Hill.
Pedro, P. C. (2003). Inteligencia artificial con aplicaciones a la ingeniería. Alfaomega.
Poole David, M. A. (2010). Artificial Intelligence:Foundations of Computational Agents.
Cambridge University.
Romero Juan Jesus, D. C. (2007). Inteligencia artificial y computación avanzada.
Colección informática.