Turing Test in Artificial Intelligence.pptx
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Turing test
The Turing test, developed by Alan Turing in 1950, is a test to determine if a machine can exhibit intelligent behavior equivalent to a human. It involves a questioner interrogating both a human and computer respondent without seeing them. If the questioner cannot reliably tell which is human and which is computer, the computer is said to have passed the Turing test. Alan Turing, a mathematician, computer scientist and cryptanalyst, invented the test to explore whether a computer could convincingly converse like a human.
Turing Test
The document discusses Alan Turing and the Turing Test. It provides details on:
- Alan Turing created the Turing Test in the 1950s to determine if a computer can exhibit intelligent behavior equivalent to a human.
- The Turing Test involves an interrogator asking questions to both a human and computer to determine which is which based on their responses.
- In 2014, a computer program passed the Turing Test by convincing 33% of judges that it was a human during conversations, marking the first successful passing of the test.
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The document discusses various problem solving techniques in artificial intelligence, including different types of problems, components of well-defined problems, measuring problem solving performance, and different search strategies. It describes single-state and multiple-state problems, and defines the key components of a problem including the data type, operators, goal test, and path cost. It also explains different search strategies such as breadth-first search, uniform cost search, depth-first search, depth-limited search, iterative deepening search, and bidirectional search.
Artificial Intelligence Notes Unit 1
This document provides an overview of artificial intelligence (AI) including definitions of AI, different approaches to AI (strong/weak, applied, cognitive), goals of AI, the history of AI, and comparisons of human and artificial intelligence. Specifically:
1) AI is defined as the science and engineering of making intelligent machines, and involves building systems that think and act rationally.
2) The main approaches to AI are strong/weak, applied, and cognitive AI. Strong AI aims to build human-level intelligence while weak AI focuses on specific tasks.
3) The goals of AI include replicating human intelligence, solving complex problems, and enhancing human-computer interaction.
4) The history of AI
Artificial intelligence agents and environment
Discusses various definitions of AI, the rational agents, the types of agents along with the concept of environment and the types of environments
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Fuzzy logic was introduced by Lotfi Zadeh in 1965 to address problems with classical logic being too precise. Fuzzy logic allows for truth values between 0 and 1 rather than binary true/false. It involves fuzzy sets, membership functions, linguistic variables, and fuzzy rules. Fuzzy logic can be applied to knowledge representation and inference using concepts like fuzzy predicates, relations, modifiers and quantifiers. It has various applications including household appliances, animation, industrial automation, and more.
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Problem solving agents
This document discusses problem solving agents in artificial intelligence. It explains that problem solving agents focus on satisfying goals by formulating the goal based on the current situation, then formulating the problem by determining the actions needed to achieve the goal. Key components of problem formulation include the initial state, possible actions, transition model describing how actions change the state, a goal test, and path cost function. Two examples of well-defined problems are given: the 8-puzzle problem and the 8-queens problem.
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Turing test
The Turing test, developed by Alan Turing in 1950, is a test to determine if a machine can exhibit intelligent behavior equivalent to a human. It involves a questioner interrogating both a human and computer respondent without seeing them. If the questioner cannot reliably tell which is human and which is computer, the computer is said to have passed the Turing test. Alan Turing, a mathematician, computer scientist and cryptanalyst, invented the test to explore whether a computer could convincingly converse like a human.
Turing Test
The document discusses Alan Turing and the Turing Test. It provides details on:
- Alan Turing created the Turing Test in the 1950s to determine if a computer can exhibit intelligent behavior equivalent to a human.
- The Turing Test involves an interrogator asking questions to both a human and computer to determine which is which based on their responses.
- In 2014, a computer program passed the Turing Test by convincing 33% of judges that it was a human during conversations, marking the first successful passing of the test.
AI: AI & Problem Solving
The document discusses various problem solving techniques in artificial intelligence, including different types of problems, components of well-defined problems, measuring problem solving performance, and different search strategies. It describes single-state and multiple-state problems, and defines the key components of a problem including the data type, operators, goal test, and path cost. It also explains different search strategies such as breadth-first search, uniform cost search, depth-first search, depth-limited search, iterative deepening search, and bidirectional search.
Artificial Intelligence Notes Unit 1
This document provides an overview of artificial intelligence (AI) including definitions of AI, different approaches to AI (strong/weak, applied, cognitive), goals of AI, the history of AI, and comparisons of human and artificial intelligence. Specifically:
1) AI is defined as the science and engineering of making intelligent machines, and involves building systems that think and act rationally.
2) The main approaches to AI are strong/weak, applied, and cognitive AI. Strong AI aims to build human-level intelligence while weak AI focuses on specific tasks.
3) The goals of AI include replicating human intelligence, solving complex problems, and enhancing human-computer interaction.
4) The history of AI
Artificial intelligence agents and environment
Discusses various definitions of AI, the rational agents, the types of agents along with the concept of environment and the types of environments
Fuzzy logic and application in AI
Fuzzy logic was introduced by Lotfi Zadeh in 1965 to address problems with classical logic being too precise. Fuzzy logic allows for truth values between 0 and 1 rather than binary true/false. It involves fuzzy sets, membership functions, linguistic variables, and fuzzy rules. Fuzzy logic can be applied to knowledge representation and inference using concepts like fuzzy predicates, relations, modifiers and quantifiers. It has various applications including household appliances, animation, industrial automation, and more.
Knowledge Representation & Reasoning
This document provides an overview and introduction to the course "Knowledge Representation & Reasoning" taught by Ms. Jawairya Bukhari. It discusses the aims of developing skills in knowledge representation and reasoning using different representation methods. It outlines prerequisites like artificial intelligence, logic, and programming. Key topics covered include symbolic and non-symbolic knowledge representation methods, types of knowledge, languages for knowledge representation like propositional logic, and what knowledge representation encompasses.
Problem solving agents
This document discusses problem solving agents in artificial intelligence. It explains that problem solving agents focus on satisfying goals by formulating the goal based on the current situation, then formulating the problem by determining the actions needed to achieve the goal. Key components of problem formulation include the initial state, possible actions, transition model describing how actions change the state, a goal test, and path cost function. Two examples of well-defined problems are given: the 8-puzzle problem and the 8-queens problem.
Artificial intelligence
Artificial intelligence (AI) is an area of computer science that aims to design machines that can think and act intelligently, like humans. The document discusses several key aspects of AI including:
- The goals of AI such as learning, reasoning, understanding language.
- Examples of modern AI applications like defeating chess champions, driving vehicles autonomously, and assisting with medical diagnoses.
- The history and development of AI from its origins in the 1950s to modern areas like neural networks.
- Challenges in developing truly intelligent machines that can match all aspects of human intelligence like creativity and common sense.
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The document discusses Turing machines, which can be both logical and physical devices. A Turing machine uses a tape like an infinite array and can read/write to cells on the tape and move left/right. It has a finite set of states and transition functions. Several examples are provided of designing Turing machines to perform tasks like reversing a binary number, checking for palindromes, and swapping all 'a's and 'b's in a string. In conclusion, Turing machines are an important theoretical model of computation that later inspired actual computer hardware.
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The document discusses the Turing Test, a test proposed by Alan Turing in 1950 to determine if a machine can demonstrate intelligent behavior that is indistinguishable from a human. It describes the original imitation game format involving a judge communicating via written notes with a man and woman, one of which is actually a machine. Various variants of the Turing Test are presented, including the standard Turing Test, original imitation game, and reverse Turing Test where the machine acts as the judge.
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This document summarizes Alan Turing's seminal 1950 paper "Computing Machinery and Intelligence" which proposed what is now known as the Turing Test. The Turing Test involves an interrogator determining which of two entities, a human or computer, they are communicating with via teletyped responses. Turing argued that if a computer could successfully pass as human, it should be considered thinking. The document outlines Turing's description of the "Imitation Game" protocol and responses to philosophical counterarguments against the possibility of machine thought. It concludes by noting the impact of Turing's work on artificial intelligence and philosophy of computing.
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The document discusses Turing machines, which can be both logical and physical devices. A Turing machine uses a tape like an infinite array and can read/write to cells on the tape and move left/right. It has a finite set of states and transition functions. Several examples are provided of designing Turing machines to perform tasks like reversing a binary number, checking for palindromes, and swapping all 'a's and 'b's in a string. In conclusion, Turing machines are an important theoretical model of computation that later inspired actual computer hardware.
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Reading response
Peter Dormer, “Craft and the Turing Test for Practical Thinking,” in The Challenge of Technology.
What is personal know-how? What is distributed knowledge?
How do they relate to the Turing test?
Give one example of your own how these concepts matter today to artists and makers, or better yet, in your own experience?
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Boris Karloff in Frankenstein in 1931 directed by James Whale
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Two definitions of AI:
“The use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular.
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Working assumption: all cognition is computable
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Who was Alan Turing?
B. 1912 London, attended King’s College, Cambridge and Princeton University. He studied mathematics and logic (he hadn’t invented computer science yet)
At 23, he invented the “Turing machine” and published “On Computable Numbers in 1936, the first and most important paper in comp. sci.
During WWII, solved the German Enigma code by use of electromechanical devices—a precursor to the computer
Laid the foundation for major subfields of comp sci: theory of computation, design of hardware and software, and the study of artificial intelligence
“The Imitation Game,”
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“The Turing Test”
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Turing
1. Alan Turing was a pioneering computer scientist who made fundamental contributions to artificial intelligence, cryptography and more.
2. During WWII, Turing worked at Bletchley Park where he helped crack German codes and is credited with shortening the war by at least two years.
3. Turing introduced the concept of a Turing machine, which formed the basis for modern computers and demonstrated that a single machine can simulate any other machine. He also proposed the Turing test for machine intelligence.
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Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
DRUGS AND ITS classification slide share
Any substance (other than food) that is used to prevent, diagnose, treat, or relieve symptoms of a
disease or abnormal condition
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Main Java[All of the Base Concepts}.docx
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Hindi varnamala | hindi alphabet PPT.pdf
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective UpskillingExcellence Foundation for South Sudan
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.Recently uploaded (20)
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Your Skill Boost Masterclass: Strategies for Effective Upskilling
Turing Test in Artificial Intelligence.pptx
- 1. Learn AI with Shankar
- 2. Turing Test in Artificial Intelligence
- 3. Alan Turing Alan Mathison Turing was an English mathematician, computer scientist,logician, cryptanalyst,philosopher, and theoretical biologist. He is widelyconsideredto be the father of theoretical computer scienceand Artificial Intelligence. AlanMathison TuringOBE FRS 23 June 1912 - 7 June 1954
- 5. The Imitation Game Imaginewehave a man(A), a woman(B), anda neutral interrogator(C). Thegoalof the gameisfor C — the interrogator— to discoverwho is the male (A) andwhois thefemale (B). Thegoalof A, in this case,is to makethe interrogatorfail,that is, fool him into thinkingthat he isthe female. An Interrogatorhasa conversationthroughthe aforementionedmethod (screen andkeyboard)with a certainentity, which caneitherbe a human or a machine. Even afterthis conversationthe interrogatoris not able to tell if the entity it was interactingwithis amachineor ahuman.
- 6. Evolution of The Turing Test The Turingtest basically approvesthe capabilitiesof a machineto think if this machinecanbe undistinguishedfrom humans ina typed conversationfor more thanone thirdof the times that the test isperformed. The test only evaluatestextual communicationcapabilities, comprehension, andexpression. The test result does not depend on each correctanswer,but only how closely itsresponses like a human answer.The computer is permittedto do everything possible to force a wrongidentificationby the interrogator. If an interrogatorwould not be able to identifywhich is a machineandwhich ishuman, then the computer passes the test successfully.
- 7. Features required for a machine to pass the Turing test Natural language processing Knowledge representation Automatic Reasoning Machine learning Vision (For total Turing test) Motor Control (For total Turing test)