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Segment 384 dims artifact Chunk 1

Doc ID: 479

Text: Section2.2 Good Behavior:The Conceptof Rationality 39 2.2 Good Behavior: The Concept of Rationality A rational agent is one that does the right thing. Obviously, doing the right thing is better Ration...

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Segment 384 dims artifact Chunk 2

Doc ID: 479

Text: 40 Chapter 2 Intelligent Agents page 33. Moreover, when designing one piece of software, copies of which will belong to different users, wecannot anticipate the exact preferences ofeach individual use...

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Segment 384 dims artifact Chunk 3

Doc ID: 479

Text: Section2.2 Good Behavior:The Conceptof Rationality 41 not otherwise engaged, so, being rational, I start to cross the street. Meanwhile, at 33,000 feet, a cargo door falls off a passing airliner,3 and...

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Segment 384 dims artifact Chunk 4

Doc ID: 479

Text: 42 Chapter 2 Intelligent Agents Totheextentthatanagentreliesonthepriorknowledgeofitsdesigner ratherthanonits Autonomy ownperceptsandlearningprocesses,wesaythattheagentlacksautonomy. Arationalagent sho...

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Segment 384 dims artifact Chunk 5

Doc ID: 479

Text: Section2.3 The Natureof Environments 43 Agent Type Performance Environment Actuators Sensors Measure Taxidriver Safe,fast, Roads,other Steering, Cameras,radar, legal, traffic,police, accelerator, spee...

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Segment 384 dims artifact Chunk 6

Doc ID: 479

Text: 44 Chapter 2 Intelligent Agents Agent Type Performance Environment Actuators Sensors Measure Medical Healthypatient, Patient,hospital, Displayof Touchscreen/voice diagnosissystem reducedcosts staff qu...

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Segment 384 dims artifact Chunk 7

Doc ID: 479

Text: Section2.3 The Natureof Environments 45 Forexample,inchess, theopponent entity Bistrying tomaximizeitsperformance measure, which,bytherulesofchess, minimizesagent A’sperformance measure. Thus,chessis ...

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Segment 384 dims artifact Chunk 8

Doc ID: 479

Text: 46 Chapter 2 Intelligent Agents that counts as deciding to do nothing. If the environment itself does not change with the passage of time but the agent’s performance score does, then we say the enviro...

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Segment 384 dims artifact Chunk 9

Doc ID: 479

Text: 48 Chapter 2 Intelligent Agents function TABLE-DRIVEN-AGENT(percept)returnsanaction persistent: percepts,asequence,initiallyempty table,atableofactions,indexedbyperceptsequences,initiallyfullyspecifie...

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Segment 384 dims artifact Chunk 10

Doc ID: 479

Text: 56 Chapter 2 Intelligent Agents Performance standard Agent Environment Critic Sensors feedback changes Learning Performance element element knowledge learning goals Problem generator Actuators Figure2...

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Segment 384 dims artifact Chunk 11

Doc ID: 479

Text: CHAPTER INTELLIGENT AGENTS Inwhichwediscussthenatureofagents,perfectorotherwise,thediversityofenvironments, andtheresultingmenagerie ofagenttypes. Chapter 1 identified the concept of rational agents a...

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Segment 384 dims artifact Chunk 12

Doc ID: 479

Text: Section2.1 Agentsand Environments 37 Agent Sensors Actuators Environment Percepts ? Actions Figure2.1 Agentsinteractwithenvironmentsthroughsensorsandactuators. We can imagine tabulating the agent func...

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Segment 384 dims artifact Chunk 13

Doc ID: 479

Text: 38 Chapter 2 Intelligent Agents A B Figure2.2 Avacuum-cleanerworldwithjusttwolocations. Eachlocationcanbecleanor dirty,andtheagentcanmoveleftorrightandcancleanthesquarethatitoccupies.Different version...

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Segment 384 dims artifact Chunk 14

Doc ID: 479

Text: Section2.4 The Structureof Agents 47 Task Environment Observable Agents Deterministic Episodic Static Discrete Crosswordpuzzle Fully Single Deterministic Sequential Static Discrete Chesswithaclock Ful...

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Segment 384 dims artifact Chunk 15

Doc ID: 479

Text: Section2.4 The Structureof Agents 49 function REFLEX-VACUUM-AGENT([location,status])returnsanaction ifstatus=Dirtythenreturn Suck elseiflocation=Athenreturn Right elseiflocation=Bthenreturn Left Figur...

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Segment 384 dims artifact Chunk 16

Doc ID: 479

Text: 50 Chapter 2 Intelligent Agents Agent Environment Sensors What the world is like now What action I Condition-action rules should do now Actuators Figure 2.9 Schematic diagram of a simple reflex agent....

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Segment 384 dims artifact Chunk 17

Doc ID: 479

Text: Section2.4 The Structureof Agents 51 function SIMPLE-REFLEX-AGENT(percept)returnsanaction persistent: rules,asetofcondition–actionrules state←INTERPRET-INPUT(percept) rule←RULE-MATCH(state,rules) acti...

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Segment 384 dims artifact Chunk 18

Doc ID: 479

Text: 52 Chapter 2 Intelligent Agents Agent Environment Sensors State How the world evolves What the world is like now What my actions do What action I Condition-action rules should do now Actuators Figure2...

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Segment 384 dims artifact Chunk 19

Doc ID: 479

Text: Section2.4 The Structureof Agents 53 function MODEL-BASED-REFLEX-AGENT(percept)returnsanaction persistent: state,theagent’scurrentconceptionoftheworldstate transition model,adescriptionofhowthenextsta...

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Segment 384 dims artifact Chunk 20

Doc ID: 479

Text: 54 Chapter 2 Intelligent Agents Agent Environment Sensors State What the world How the world evolves is like now What it will be like What my actions do if I do action A What action I Goals should do ...

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Segment 384 dims artifact Chunk 21

Doc ID: 479

Text: Section2.4 The Structureof Agents 55 Agent Environment Sensors State What the world How the world evolves is like now What it will be like What my actions do if I do action A How happy I will be Utili...

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Segment 384 dims artifact Chunk 22

Doc ID: 479

Text: Section2.4 The Structureof Agents 57 tobetheentire agent: ittakes inpercepts and decides onactions. Thelearning element uses feedback from the critic on how the agent is doing and determines how the p...

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Segment 384 dims artifact Chunk 23

Doc ID: 479

Text: 58 Chapter 2 Intelligent Agents More generally, human choices can provide information about human preferences. For example, suppose the taxi does not know that people generally don’t like loud noises,...

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Segment 384 dims artifact Chunk 24

Doc ID: 479

Text: Section2.4 The Structureof Agents 59 In an atomic representation each state of the world is indivisible—it has no internal Atomic representation structure. Consider thetask offindingadriving route fro...

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Segment 384 dims artifact Chunk 25

Doc ID: 479

Text: 60 Chapter 2 Intelligent Agents if the representation of a concept is spread over many memory locations, and each memory location is employed as part of the representation of multiple different concep...

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Segment 384 dims artifact Chunk 26

Doc ID: 479

Text: Bibliographicaland Historical Notes 61 concept of a controller in control theory is identical to that of an agent in AI. Perhaps sur- Controller prisingly, AI has concentrated for most of its history ...

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Segment 384 dims artifact Chunk 27

Doc ID: 479

Text: 62 Chapter 2 Intelligent Agents Asnoted in Chapter 1, the development of utility theory as a basis for rational behavior goes back hundreds of years. In AI, early research eschewed utilities in favor ...

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