Introduction to Artificial Intelligence

Slides:



Advertisements
Similar presentations
ARTIFICIAL INTELLIGENCE
Advertisements

Artificial Intelligence AI: The branch of computer science dedicated to the creation of machines that perform task which if done by humans would be considered.
Artificial Intelligence for Games Game playing Patrick Olivier
Artificial Intelligence
Introduction to AI Kaziwa H. Saleh. What is AI? John McCarthy defines AI as “the science and engineering to make intelligent machines”. AI is the study.
An Introduction to Artificial Intelligence. Introduction Getting machines to “think”. Imitation game and the Turing test. Chinese room test. Key processes.
WHAT IS ARTIFICIAL INTELLIGENCE?
Introduction to Introduction to Artificial Intelligence Henry Kautz.
Artificial Intelligence Overview John Paxton Montana State University August 14, 2003.
CSE 471/598,CBS598 Introduction to Artificial Intelligence Fall 2004
Random Administrivia In CMC 306 on Monday for LISP lab.
Artificial Intelligence Instructor: Professor Yun Peng
D Goforth - COSC 4117, fall Notes  Program evaluation – Sept Student submissions  Mon. Sept 11, 4-5PM  FA 181 Comments to committee are.
ARTIFICIAL INTELLIGENCE Introduction: Chapter Textbook: S. Russell and P. Norvig Artificial Intelligence: A Modern Approach Prentice Hall, 2003,
Intelligence & Artificial Intelligence You must have a pre-prepared sentence or two to spout about what is a description of intelligence.. And what is.
Introduction to AI, H. Feili 1 Introduction to Artificial Intelligence LECTURE 1: Introduction What is AI? Foundations of AI The.
CPSC 171 Artificial Intelligence Read Chapter 14.
Artificial Intelligence Andrea Danyluk For FPS 2/2/04.
C463 / B551 Artificial Intelligence Dana Vrajitoru Introduction.
ARTIFICIAL INTELLIGENCE Introduction: Chapter 1. Outline Course overview What is AI? A brief history The state of the art.
CISC4/681 Introduction to Artificial Intelligence1 Introduction – Artificial Intelligence a Modern Approach Russell and Norvig: 1.
Artificial Intelligence CIS 342 The College of Saint Rose David Goldschmidt, Ph.D.
Introduction: Chapter 1
Summary Time Lines Broken down by themes. Hardware Ancient times – Astronomical clocks 1652 Pascaline 1837 Babbage Analytical Engine 1946 ENIAC 1944 Mark.
Artificial Intelligence: An Introduction Definition of AI Foundations of AI History of AI Advanced Techniques.
CSC4444: Artificial Intelligence Fall 2011 Dr. Jianhua Chen Slides adapted from those on the textbook website.
A RTIFICIAL I NTELLIGENCE Introduction 3 October
Psy Introduction1 Introduction Psychology 612.
CNS 4470 Artificial Intelligence. What is AI? No really what is it? No really what is it?
Artificial Intelligence CS 363 Kawther Abas Lecture 1 Introduction 5/4/1435.
1 Artificial Intelligence GholamReza GhassemSani Fall 1383.
ARTIFICIAL INTELLIGENCE BY:Jeff Brauer, David Abarbanel, Monica Balod, Mae Anglo, Umangi Bhatt.
AI History, Philosophical Foundations Part 2. Some highlights from early history of AI Gödel’s theorem: 1930 Turing machines: 1936 McCulloch and Pitts.
Introduction to Artificial Intelligence and Soft Computing
Due Monday Read chapter 2 Homework: –Chapter 1, exercises –Answer each in 100 words or less. Send to from your preferred.
Lecture 1: Introduction Heshaam Faili University of Tehran What is AI? Foundations of AI The History of AI State of the Art.
1 The main topics in AI Artificial intelligence can be considered under a number of headings: –Search (includes Game Playing). –Representing Knowledge.
AI: Can Machines Think? Juntae Kim Department of Computer Engineering Dongguk University.
History of AI By: Stephen Fandrich. AI Development Timeline.
Artificial Intelligence Past, Present, & Future Andrea McGrath April 21 st, 2006.
FOUNDATIONS OF ARTIFICIAL INTELLIGENCE
Machines Who Think By: Pamela McCorduck Presentation By: Chantal Ivenso University of Cincinnati.
Princess Nora University Artificial Intelligence CS 461 Level 8 1.
Artificial Intelligence Chapter 1 –Part 1 Artificial Intelligence Dr.Hassan Al-Tarawneh.
Vilalta/Norvig/Eick: History of AI Origins McCulloch and Pitts (1943) Model of Artificial Neurons. Donald Hebb (1949) Hebbian Learning Conference at Dartmouth.
Artificial Intelligence ( AI ) Ahmed Ismail AIT 600 Spring 08.
1 CMSC 671 Fall 2001 Class #10 – Thursday, October 4.
Artificial Intelligence
Overview of Artificial Intelligence (1) Artificial intelligence (AI) Computers with the ability to mimic or duplicate the functions of the human brain.
Introduction To Artificial Intelligence
CSC 290 Introduction to Artificial Intelligence
Course Objectives This part of course introduces some main strategies and methods used in intelligent systems. The topics include the history and applications.
Introduction Characteristics Advantages Limitations
COMP-4640 Intelligent & Interactive Systems Lecture 1
第 1 章 绪论.
A I (Artificial Intelligence)
History of Artificial Intelligence(AI)
COMP-4640 Intelligent & Interactive Systems Lecture 1
Artificial Intelligence and Searching
Artificial Intelligence introduction(2)
Introduction to Artificial Intelligence and Soft Computing
Introduction to Artificial Intelligence
TA : Mubarakah Otbi, Duaa al Ofi , Huda al Hakami
What is AI?.
Artificial Intelligence Chapter 1 Introduction
CS 404 Artificial Intelligence
Artificial Intelligence
Artificial Intelligence in Medicine
Supplemental slides for CSE 327 Prof. Jeff Heflin
Artificial Intelligence Andrea Danyluk For FPS 2/2/04.
Presentation transcript:

Introduction to Artificial Intelligence http://smbc-comics.com

What is intelligence? What would a computer need to do to make you think that it is intelligent? Intelligent conversation, learn, general decision making, natural language, spontaneity, anticipating things, feelings, self awareness,

Slide by David Cope

Mechanical Turk http://en.wikipedia.org/wiki/File:Turk-engraving5.jpg

The Turing Test Wikipedia

AI Fields Expert systems Game playing Computer vision http://www.lpa.co.uk/pws_exec/pws/proweb.exe?eg=Expert+System+Shell Game playing Computer vision Natural language processing/semantics Machine learning

Expert Systems Demo http://www.lpa.co.uk/pws_exec/pws/proweb.exe?eg=Expert+System+Shell http://www.manifestation.com/neurotoys/eliza.php3

Expert System Extensive knowledge in particular domain (medical diagnoser, ) Contains “knowledge base” Rules to connect knowledge base elements best.me.berkeley.edu/.../s99/Week2/Image13.gif

Expert Systems: MYCIN MYCIN – identified bacterial infections and recommended antibiotics Rule: if condition 1 condition 2 … then p inference 1 inference 2 Reasoning proceeds Sample rules: (defrule 52 if (site culture is blood) (gram organism is neg) (morphology organism is rod) (burn patient is serious) then 0.4 (identity organism is pseudomonas) (defrule 71 if (gram organism is pos) (morphology organism is coccus) (growth-conformation organism is clumps) then 0.7 (identity organism is staphylococcus)

Expert System: MYCIN best.me.berkeley.edu/.../s99/Week2/Image13.gif

“Game Playing: Deep Blue” Chess – the ultimate display of intelligence Deep Blue Defeated world chess champion, Kasparov Developed at IBM Algorithm Minimax to look at future moves (we will learn more about this next week)

Deep Blue in Popular Culture Deep Blue was seen on the Futurama episode "Anthology of Interest I" voiced by Tress MacNeille. On the April 14, 2005 episode of The Daily Show with Jon Stewart, Stewart invited a fictional version of Deep Blue to comment on the recent extradition of former chess champion Bobby Fischer. Deep Blue didn't offer any analysis of any kind, and repeatedly suggested they play chess Referenced in Pure Pwnage. Said to have been beaten by Teh_Masterer, who had used only a row of pawns and a single bishop. http://en.wikipedia.org/wiki/Deep_Blue_%28chess_computer%29 http://en.wikipedia.org/wiki/Deep_Blue_%28chess_computer%29

Semantic Networks Way to represent knowledge Nodes represent concepts or actions Arrows represent their relationship to each other http://seurat.ecom.arizona.edu/~ai_mwiki/images/d/d7/Semanticnetwork.gif

Semantic Network Example http://www.infomaniacs.com/InformationUNBOUND/SemanticNetwork1.jpg

AI Types Two AI paradigms Model thought processes Top down versus bottom up http://web.media.mit.edu/~minsky/papers/SymbolicVs.Connectionist_files/image012.png

Symbolic AI Atom Expressions a, b, c Expressions (list ‘a ‘b ‘c) A symbol, then, is an atomic entity, designating some object or concept, which can be manipulated explicitly by a physical symbol system, leading to intelligent behavior http://mechanism.ucsd.edu/~bill/research/CONSCIOU.pdf

Connectionist AI Wikimedia

AI Timeline 1928: John von Neumann's minimax theorem (later used in game playing programs). 1943: McCulloch and Pitt propose neural-network architectures for intelligence. 1950: Isaac Asimov, "I, Robot" 1950: Shannon proposes chess program 1956: Newell, Shaw, and Simon create "The Logic Theorist", a program that solves math problems. 1956: AI named at Dartmouth computer conference, first meeting of McCarthy, Minsky, Newell, and Simon. 1958: McCarthy introduces "LISP" at MIT 1959: Minsky and McCarthy establish MIT AI lab 1959: Rosenblatt introduces Perceptron. 1959: Samuel's checkers program wins games against best human players. 1969: Minsky & Papert's "Perceptrons" (limits of single-layer neural networks) 1974: Edward Shortliffe's thesis on MYCIN. 1986: Backpropagation gains widespread popularity

Suggested Reading What is Intelligence? http://www.britannica.com/EBchecked/topic/37146/artificial-intelligence Turing Test: http://www.acm.org/crossroads/xrds4-4/turing.html

The Turing Test xkcd.com