《Artificial Intelligence：A Modern Approach》教学资源（讲义，英文版）chapter02

乙HLdVHO SLNOV LNHSITIHLNI

gents A Intelligent 2 Chapter 1 2 Chapter

乙乙mdO epoS IL 'KepuoW pue Kepo I-II :Terogn3 VWIV/soewa/ds!I 87/I anp (ousa.goI ds!)0 quowu3issy sIopurwoy

Reminders 1/28 due refresher) (lisp 0 t Assignmen da So 271 ,y Monda and y da to 11-1 : tutorial Lisp/emacs/AIMA 2 2 Chapter

sadK1u38V◇ S3dKM4 awuoJIAu3◇ (sJosuas 'sJolenoy 'quewuoJInug 'anseaw aouewjojed)SV3d K4 euoney◇ s1 uowuolAu3 pue squa3V◇ ourino

Outline environments and Agents ♦ y Rationalit ♦ rs) Senso rs, Actuato Environment, measure, rmance erfo (P PEAS ♦ es yp t Environment ♦ es yp t Agent ♦ 3 2 Chapter

p乙mdwD f aonpod o ainanype jeo!sKyd ayn uo sund we3oud qua3e ayL /←*d:f :suonpe o1 sauonsly idaouad woyy sdew uonouny quage ay 3‘s1e1 soway1‘s1 oqyos‘s1oqo1‘suewny3pnpu!su38V sJojenjoe suonoe quebe juwuou sideojed slosues squowuoIlAua pue squa8y

ts vironmen en and ts Agen ? agent percepts sensors actions environment actuators etc. thermostats, ots, softb ots, rob humans, include Agents actions: to ries histo ercept p from maps function agent The P: f →∗ A f duce ro p to rchitecture a physical the on runs rogram p agent The 4 2 Chapter

dO0W‘YonS‘46H‘f37:suonoy [i4-l2☑V]83‘su4uo)pue uo!4eo1:s1dBd g83 8830 H plIoM Joueapo-wnnoe

orld w acuum-cleaner V B A ] ty ir D A, [ e.g., contents, and cation lo ercepts: P p oO N, uck S, ht ig R,t Lef Actions: 5 2 Chapter

9乙mdD iweod quage lews e u!panuawajdw!aq 1 ue) iuonounj qq81Iay s!neyM ifaT uingaI uay?g uo20ool J!asta rybry uigoI uay y uorvool J!asto yons uingoI uayr fmnd sngogs J! uonpe ue sumngoI (sngois'uo20oo]])LNaSY-WnnovA-xaT uonoun] yons fand V]'1o v] 246H [uD310]‘[uwa10 yonS [4C‘a f37 uD2O‘a yons [4ua‘V] 4462H uo3lO‘V] uonoy apuanbas idaoed quage oueajo-unnoen y

t agen acuum-cleaner v A Action sequence ercept P ht ig R ] ean l C A, [ uck S ] ty ir D A, [ t Lef ] ean l C, B[ uck S ] ty ir D, B[ ht ig R ] ean l C A, [ ,] ean l C A, [ uck S ] ty ir D A, [ ,] ean l C A, [ . . . . . . action an returns ]) status , ation c lo[ ( gent cuum-A a Reflex-V function Suck return then Dirty = status if ight R return then A = ation c lo if else eft L return then B = ation c lo if else function? t righ the is What rogram? p agent small a in implemented eb it Can 6 2 Chapter

Kwouo1ne8 ulwjea‘uoI4eo1dxa←jeuoney Injssa3ns卡jeuole!‘3uH panoadxe se aq qou Kew sawooino uonoe- ueKomiepp卡jeuoney uonewoju!quenaja le Kjddns qou Kew sidaouad- 1uB1 sIuw0卡Ieuo14eH anep o1 aouanbas ndaoJad ayl uanl8 anseaw aouewojad ay Jo anjen panpadxa ay1 saziwixew uonpe JanayplyM sasooyo quage jeuoney is3enbsμIpY<oy3z到euad- ianow Jad auo snuiw 'dans awn Jed auenbs ueajo jed quiod auo- iL aw!u!dn paueaj auenbs jed quiod auo- eouanbas quawuollnua ay1 sanenjena aunseaw aouewjojad paxl AuleuoleH

y Rationalit sequence environment the evaluates measure rmance erfo p Fixed ? T time in up cleaned re squa er p oint p one – move? er p one minus step, time er p re squa clean er p oint p one – res? squa y dirt k >r fo enalize p – of value ected exp the maximizes action whichever oses cho agent rational A date to sequence ercept p the given measure rmance erfo p the omniscient 6= Rational rmation info relevant all supply not y ma ercepts p – ant y clairvo 6= Rational ected exp as eb not y ma outcomes action – successful 6= rational Hence, autonomy rning, lea ration, explo ⇒ Rational 7 2 Chapter

8乙mdwD Lislosues iisioleny Liu3 wuoJAu叮 ainseaw auewofed Ixen palewoine ue Buluisap jo ysen ay"a 'apisuo) quawuoJInua ysen ay Kypads isnw am'quage jeuonel e uBisap o] SVHd

PEAS environment task the ecify sp must e w agent, rational a design oT taxi: automated an designing of task the e.g., Consider, ?? measure rmance erfo P ?? Environment ?? rs Actuato ?? rs Senso 8 2 Chapter

6乙d :,‘Sd9'beoqA3y'sJosues∂u8ua‘s38ne8‘s31au01alpe‘o3 PIA LiSJOSUSS ..Kejdsip/Jayeads'woy 'ayeq 'oejae 'uueas iisoen ·‘ey1e3M'sueu4s3p3de1‘s人eM33y/S13∂1 s sn iiluwuolA叮 ··'μoyuo)Ke81‘Sy0d‘uo1euI4s3pK4esii3nse3u3 uewo乎e石 Ixen panewoine ue Bulugisap yo ysen ayn8a apisuo) quawuoJAua yse ay Kj!pads asnw aM'ue jeuone e uBisap oL SVHd

PEAS environment task the ecify sp must e w agent, rational a design oT taxi: automated an designing of task the e.g., Consider, . . . rt, comfo ,y legalit rofits, p destination, ,y safet ?? measure rmance erfo P . . . eather, w edestrians, p traffic, ys, a streets/freew US ?? Environment . . . ,y er/displa eak sp rn, ho e, rak b r, accelerato steering, ?? rs Actuato . . . GPS, rd, oa eyb k rs, senso engine gauges, accelerometers, video, ?? rs Senso 9 2 Chapter

01乙pdeD isiosuas iisionenpy uswuou灯 aunseaw auewofed quoBe Surddoys qauequl

t agen shopping ternet In ?? measure rmance erfo P ?? Environment ?? rs Actuato ?? rs Senso 10 2 Chapter