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7 LOGICAL AGENTS - Artificial Intelligence: A Modern Approach

7 LOGICALAGENTSI nwhich wedesignagentsthatcanformrepresentations oftheworld,usea pro-cessof inferenceto derivenew representationsabouttheworld, therepre-sentationofknowledgeandthereaso ningprocessesthatbringknowledgeto life ,it seems, enablesuccessfulbehaviorsthatwouldbevery hardto achieve have seenthatknowledgeofactionoutcomesenables problem-solvingagentstoperformwellincomp lex reflex ,however, ,butdoesnotknowinany usefulsensethatnopiececanbeontwo , ,thisprocesscanbequitefarremovedfromthen eedsofthemoment aswhena mathematicianprovesa theoremoranastronomercalculatestheearth s ,aphysiciandiagnosesa patient thatis,infersa diseasestatethatis notdirectlyobservable priortochoosinga ,andsomeis itsinsidethephysician s head,it ,namely, theinten-tionofthespeaker.

KNOWLEDGE LEVEL knowledge level, where we need specify only what the agent knows and what its goals are, in order to fix its behavior. For example, an automated taxi might have the goal of delivering a passenger to Marin County and might know that it is in San Francisco and that the Golden Gate Bridge is the only link between the two locations.

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Transcription of 7 LOGICAL AGENTS - Artificial Intelligence: A Modern Approach

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