Artificial Intelligence Programming in Art by Mohamed FaragMohammed Farrag
This presentation is an ignite talk for CREATE 2015 event. The talk focused on the revolution from Artificial Intelligence Markup Language (AIML) to Virtual Human Markup Language (VHML)
Raj Kamal is an MCA student working on a touch screen project under the guidance of Professor Suman Deb. The document outlines the history of touch screen technology from its inception in 1965 to its widespread use today. It also discusses the student's project methodology which includes a literature review, equipment selection, data analysis, and submission of a final report. The introduction notes that touch screens can make systems more intuitive to use than traditional pointing devices.
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.
1) Artificial intelligence (AI) is the study of intelligent machines that can perform functions like human thought. AI research dates back to ancient times but expanded in the 20th century with advances in computing.
2) Early milestones included simulating human thinking on computers in 1956 and the first AI conference that year, which inspired research emulating human reasoning, language, communication and more.
3) AI has many applications today including financial services, healthcare, transportation and more, but still faces limitations, especially in areas like natural language understanding. Fully realizing human-level AI may take decades more of research focused on language, environmental interaction and other challenges.
This document provides an overview and introduction to a course on principles of compiler design. It discusses the motivation for studying compilers, as language processing is important for many software applications. It outlines what will be covered in the course, including the theoretical foundations and practical techniques for developing lexical analyzers, parsers, type checkers, code generators, and more. The document also describes the organization of the course with lectures, programming assignments, and exams.
Presentation on artificial intelligenceKawsar Ahmed
This presentation provides an overview of artificial intelligence (AI) and how it works. It defines intelligence as the ability to learn from and interact with one's environment. Artificial intelligence is defined as making computers do intelligent tasks like humans. AI works using artificial neurons in artificial neural networks and scientific theorems. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. Examples of AI applications include expert systems like PROSPECTOR for geology and PUFF for medicine diagnosis. Machine learning allows AI to mimic human intelligence by learning from failure, being told, or exploration. While human intelligence has intuition and creativity, AI can simulate human behavior, comprehend large data quickly, and preserve human expertise to achieve more than is known. AI is needed to
Artificial Intelligence Programming in Art by Mohamed FaragMohammed Farrag
This presentation is an ignite talk for CREATE 2015 event. The talk focused on the revolution from Artificial Intelligence Markup Language (AIML) to Virtual Human Markup Language (VHML)
Raj Kamal is an MCA student working on a touch screen project under the guidance of Professor Suman Deb. The document outlines the history of touch screen technology from its inception in 1965 to its widespread use today. It also discusses the student's project methodology which includes a literature review, equipment selection, data analysis, and submission of a final report. The introduction notes that touch screens can make systems more intuitive to use than traditional pointing devices.
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.
1) Artificial intelligence (AI) is the study of intelligent machines that can perform functions like human thought. AI research dates back to ancient times but expanded in the 20th century with advances in computing.
2) Early milestones included simulating human thinking on computers in 1956 and the first AI conference that year, which inspired research emulating human reasoning, language, communication and more.
3) AI has many applications today including financial services, healthcare, transportation and more, but still faces limitations, especially in areas like natural language understanding. Fully realizing human-level AI may take decades more of research focused on language, environmental interaction and other challenges.
This document provides an overview and introduction to a course on principles of compiler design. It discusses the motivation for studying compilers, as language processing is important for many software applications. It outlines what will be covered in the course, including the theoretical foundations and practical techniques for developing lexical analyzers, parsers, type checkers, code generators, and more. The document also describes the organization of the course with lectures, programming assignments, and exams.
Presentation on artificial intelligenceKawsar Ahmed
This presentation provides an overview of artificial intelligence (AI) and how it works. It defines intelligence as the ability to learn from and interact with one's environment. Artificial intelligence is defined as making computers do intelligent tasks like humans. AI works using artificial neurons in artificial neural networks and scientific theorems. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. Examples of AI applications include expert systems like PROSPECTOR for geology and PUFF for medicine diagnosis. Machine learning allows AI to mimic human intelligence by learning from failure, being told, or exploration. While human intelligence has intuition and creativity, AI can simulate human behavior, comprehend large data quickly, and preserve human expertise to achieve more than is known. AI is needed to
LISP Programming Language (Artificial Intelligence)wahab khan
LISP Language, LISP Introduction, List Processing, LISP Syntax, Lisp Comparison Structures, Lisp Applications. Using of LISP language in Artificial Intelligence
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
The first official version of Prolog was developed in the 1970s in France as a tool for programming in logic. Today, Prolog is used for artificial intelligence applications like knowledge bases, expert systems, and natural language interfaces. Visual Prolog addresses the same market as SQL databases, C++, and other programming languages.
LISP and PROLOG are early AI programming languages. LISP, created in 1958, uses lists and is functional while PROLOG, created in the 1970s, is logic-based and declarative. Both use recursion and allow programming with lists. They are commonly used for symbolic reasoning, knowledge representation and natural language processing. While different in approach, they both allow developing AI systems through a non-procedural programming style.
Prolog is a logic programming language invented in the 1970s. It uses a declarative programming paradigm where programs describe relations and logic, rather than algorithms. The document provides an introduction to Prolog, covering its key features like facts, rules, questions, terms, backtracking, recursion, and lists. It also discusses resolution and unification, depth first search, scope, type systems, and bindings in Prolog. Examples demonstrate implementing the Towers of Hanoi problem and a non-deterministic finite state automaton in Prolog.
Introduction to Lisp. A survey of lisp's history, current incarnations and advanced features such as list comprehensions, macros and domain-specific-language [DSL] support.
This document provides an introduction to Prolog, including:
- SWI-Prolog is an open source Prolog environment that can be freely downloaded.
- Prolog is a declarative logic programming language based on logic, predicates, facts, and rules. It is often used for artificial intelligence applications.
- Key concepts in Prolog include facts, rules, queries, unification, and backtracking to find solutions. Arithmetic can also be performed.
- Control structures like cuts can be used to optimize searching for solutions and avoid unnecessary backtracking.
- Examples are provided of coding simple logic and relationships in Prolog along with queries to demonstrate how it works.
SLIDES WITH NOTES: http://bitly.com/rej-practical-ai
This talk is an introductory material for students and programmers aspiring for developing AI for games.
Talk is split into 2 parts - first part provides an overview on popular AI approaches in games and second part gives an outlook on technology that might be relevant for games AI in the future.
I gave this talk at Vilnius University as a guest speaker in the late October 2016.
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.
LISP Programming Language (Artificial Intelligence)wahab khan
LISP Language, LISP Introduction, List Processing, LISP Syntax, Lisp Comparison Structures, Lisp Applications. Using of LISP language in Artificial Intelligence
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
The first official version of Prolog was developed in the 1970s in France as a tool for programming in logic. Today, Prolog is used for artificial intelligence applications like knowledge bases, expert systems, and natural language interfaces. Visual Prolog addresses the same market as SQL databases, C++, and other programming languages.
LISP and PROLOG are early AI programming languages. LISP, created in 1958, uses lists and is functional while PROLOG, created in the 1970s, is logic-based and declarative. Both use recursion and allow programming with lists. They are commonly used for symbolic reasoning, knowledge representation and natural language processing. While different in approach, they both allow developing AI systems through a non-procedural programming style.
Prolog is a logic programming language invented in the 1970s. It uses a declarative programming paradigm where programs describe relations and logic, rather than algorithms. The document provides an introduction to Prolog, covering its key features like facts, rules, questions, terms, backtracking, recursion, and lists. It also discusses resolution and unification, depth first search, scope, type systems, and bindings in Prolog. Examples demonstrate implementing the Towers of Hanoi problem and a non-deterministic finite state automaton in Prolog.
Introduction to Lisp. A survey of lisp's history, current incarnations and advanced features such as list comprehensions, macros and domain-specific-language [DSL] support.
This document provides an introduction to Prolog, including:
- SWI-Prolog is an open source Prolog environment that can be freely downloaded.
- Prolog is a declarative logic programming language based on logic, predicates, facts, and rules. It is often used for artificial intelligence applications.
- Key concepts in Prolog include facts, rules, queries, unification, and backtracking to find solutions. Arithmetic can also be performed.
- Control structures like cuts can be used to optimize searching for solutions and avoid unnecessary backtracking.
- Examples are provided of coding simple logic and relationships in Prolog along with queries to demonstrate how it works.
SLIDES WITH NOTES: http://bitly.com/rej-practical-ai
This talk is an introductory material for students and programmers aspiring for developing AI for games.
Talk is split into 2 parts - first part provides an overview on popular AI approaches in games and second part gives an outlook on technology that might be relevant for games AI in the future.
I gave this talk at Vilnius University as a guest speaker in the late October 2016.
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.
6. Hanoi in Java
public class Test {
private static void emitStep(int source, int dest) {
System.out.println(source + " -> " + dest);
}
static class Step {
Step(int n, int s, int d, int t) {
this.n = n;
source = s;
dest = d;
temp = t;
}
int n, source, dest, temp;
}
private static void hanoi(int n, int source, int dest, int temp) {
java.util.Stack<Step> steps = new java.util.Stack<Step>();
steps.add(new Step(n, source, dest, temp));
while (steps.empty() == false) {
Step step = steps.pop();
if (step.n == 1) {
emitStep(step.source, step.dest);
continue;
}
steps.push(new Step(step.n - 1, step.temp, step.dest, step.source));
steps.push(new Step(1, step.source, step.dest, 0));
steps.push(new Step(step.n - 1, step.source, step.temp, step.dest));
}
}
public static void main(String[] args) {
hanoi(3, 1, 3, 2);
}
}
7. Hanoi in Prolog
move(1,X,Y,_):-
write('Move top disk from '),write(X),write(' to '), write(Y), nl.
move(N,X,Y,Z):-
N>1,M is N-1,move(M,X,Z,Y),move(1,X,Y,_),move(M,Z,Y,X).
30 行 2
行
20. 组织 和会议
ALP(Association for Logic Programming)
逻辑编程协会
http://www.logicprogramming.org/
ICLP(International Conference on Logic
Programming)
逻辑编程国际会议
http://www.iclp2014.net/ Shanghai, China, Oct, 2014.
21. 学习书 籍
入门
"Programming In Prolog". William F. Clocksin and
Christopher S. Mellish. Springer-Verlag, 2003 (5th ed).
"Prolog Programming for Artificial Intelligence". Ivan Bratko.
Addison-Wesley, 2001 (3rd ed).
高级
"The Art of Prolog: Advanced Programming Techniques".
Leon Sterling and Ehud Shapiro. MIT Press, 1994 (2nd ed).
"The Craft of Prolog". Richard A. O'Keefe. MIT Press, 1990.
22. 在线资 料
笨办 法学 Prolog by 泰安小码农 — 轻 松入门
—
http://fengdidi.github.com/blog/2011/11/15/di-0zhang-wei-
shi-yao-yao-xue-xi-prolog/
Adventure in Prolog by Amzi! Inc. —— 语 法大全
http://www.amzi.com/AdventureInProlog/advfrtop.htm
prolog :- tutorial by J.R.Fisher —— 经 典实 例
http://www.csupomona.edu/~jrfisher/www/prolog_tutorial/c
ontents.html
23. 相关 文献
Visual Prolog 的搜索控制机制分析 , 雷英杰 , 王宝树 , 赵晔 ,
王涛,计算机科学, 2005 Vol.32
基于 Prolog 的某型直升机故障诊断专家系统的研究 , 刘卓,
南京大学, 2012
一个动物识别专家系统在 PROLOG 下的实现,夏明华,成
都信息工程学院学报, 2003 Vol.18
Use of Prolog for developing a new programming
language, JL Armstrong, SR Virding, MC Williams - C.
Moss and, 1992