introduction to artificial intelligence
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Basis of Artificial IntelligenceTRANSCRIPT
7/21/2019 Introduction to Artificial Intelligence
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INTELLIGENT SYSTEMS – CSM 351
L01 - INTRODUCTION TO ARTIFICIAL INTELLIGENCE
Outline of ti! Le"tu#e• Course overview
• What is AI?
• A brief history
• The state of the art
Cou#!e o$e#$ie%• Introduction to AI
• Intelligent Agents
• Search as Problem Solving Method
• More Search Strategies
• Constraint Satisfaction Problems
• Knowledge e!resentation " easoning #
• Knowledge e!resentation " easoning $
• Inference in %irst&'rder (ogic
&'t i! AI( )iews of AI fall into four categories*
• Thin+ing humanly
• Thin+ing rationally
• Acting humanly
• Acting rationally
The main te,tboo+ advocates -acting rationally-
A"tin) u*'nl+, Tu#in) Te!t
• Turing .#/012 -Com!uting machinery and intelligence-*
• -Can machines thin+?- -Can machines behave intelligently?-
• '!erational test for intelligent behavior* the Imitation 3ame
• Predicted that by $1114 a machine might have a 516 chance of fooling a lay !erson for 0
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7/21/2019 Introduction to Artificial Intelligence
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minutes
• Antici!ated all ma7or arguments against AI in following 01 years
• Suggested ma7or com!onents of AI* +nowledge4 reasoning4 language understanding4
learning
Tinin) u*'nl+, "o)niti$e *o.elin)
• #/81s -cognitive revolution-* information&!rocessing !sychology• e9uires scientific theories of internal activities of the brain
&& :ow to validate? e9uires#2 Predicting and testing behavior of human sub7ects .to!&down2
or $2 ;irect identification from neurological data .bottom&u!2
• <oth a!!roaches .roughly4 Cognitive Science and Cognitive =euroscience2
are now distinct from AI
Tinin) #'tion'll+, /l'%! of tou)t/
• A#i!totle* what are correct arguments>thought !rocesses?
• Several 3ree+ schools develo!ed various forms of logic* notation and rules of derivation
for thoughts may or may not have !roceeded to the idea of mechani@ation
• ;irect line through mathematics and !hiloso!hy to modern AI
• Problems*
# =ot all intelligent behavior is mediated by logical deliberation
$ What is the !ur!ose of thin+ing? What thoughts should I have?
A"tin) #'tion'll+, #'tion'l ')ent
• ational behavior is doing the right thing
• The right thing is that which is e,!ected to ma,imi@e goal achievement4 given the
available information
• ;oesnBt necessarily involve thin+ing eg4 blin+ing refle, but thin+ing should be in theservice of rational action
R'tion'l ')ent!• An agent is an entity that !erceives and acts
• AI is about designing rational agents
• Abstractly4 an agent is a function from !erce!t histories to actions*
D f * PE AF
• %or any given class of environments and tas+s4 we see+ the agent .or class of agents2 with
the best !erformance• Caveat* com!utational limitations ma+e !erfect rationality unachievable
design best !rogram for given machine resources
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AI #ei!to#+Philoso!hy (ogic4 methods of reasoning4 mind as !hysical system foundations
of learning4 language4 rationality
Mathematics %ormal re!resentation and !roof algorithms4 com!utation4
.un2decidability4 .in2tractability4 !robability
Gconomics utility4 decision theory
=euroscience !hysical substrate for mental activity
Psychology !henomena of !erce!tion and motor control4 e,!erimentaltechni9ues
Com!uter building fast com!uters
engineering
Control theory design systems that ma,imi@e an ob7ective function over time
(inguistics +nowledge re!resentation4 grammar
A#i.)e. i!to#+ of AI#/H5 McCulloch " Pitts* <oolean circuit model of brain
#/01 TuringBs -Com!uting Machinery and Intelligence-#/08 ;artmouth meeting* -Artificial Intelligence- ado!ted
#/0$8/ (oo+4 Ma4 no handsJ
#/01s Garly AI !rograms4 including SamuelBs chec+ers !rogram4 =ewell "
SimonBs (ogic Theorist4 3elernterBs 3eometry Gngine#/80 obinsonBs com!lete algorithm for logical reasoning
#/885 AI discovers com!utational com!le,ity =eural =etwor+ research almost
disa!!ears#/8// Garly develo!ment of +nowledge&based systems
#/L1&& AI becomes an industry
#/L8&& =eural =etwor+s return to !o!ularity#/L&& AI becomes a science
#//0&& The emergence of intelligent agents
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7/21/2019 Introduction to Artificial Intelligence
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St'te of te '#t• ;ee! <lue defeated the reigning world chess cham!ion 3arry Kas!arov in #//
• Proved a mathematical con7ecture .obbins con7ecture2 unsolved for decades
• =o hands across America .driving autonomously /L6 of the time from Pittsburgh to San
;iego2
• ;uring the #//# 3ulf War4 S forces de!loyed an AI logistics !lanning and scheduling
!rogram that involved u! to 014111 vehicles4 cargo4 and !eo!le
• =ASABs on&board autonomous !lanning !rogram controlled the scheduling of o!erations
for a s!acecraft
• Proverb solves crossword !u@@les better than most humans
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