Artificial Intelligence introduction, Exercises of Artificial Intelligence

Download Artificial Intelligence introduction and more Exercises Artificial Intelligence in PDF only on Docsity! A Brief Recap 1. Al Agents 2.PEAS 3. Agent = Architecture + Programme 4,,Rational Agents (RAs) 5. Characteristics and Properties of RAs 6. Limitations of RAs =< z Fully Observable vs. Partially Observable If the sensors of the agent give their accesses to the complete state of the environment at each point in ue, then the environment is fully observable -fully observable environments are expedient bapauce the agent does not need to maintain any internal state for keeping the track of the world -for example: Chess > An environment might be partially observable because of noisy and inaccurate sensors or because parts of the environment are simply missing from the sensor data. -for example: Kriegspiel Tom OPM NN eter rence la crit onr ie eenren insula ey UTTY UD V Poe Soto 1M inwinty sunonenes X[k RE) @ emai yeere hora: 4: x [ig ARRBREMSARRE RAE MoE 5 © Fw yrunise comin cc) = Broiie™ vical a Upnest Deterministic vs. Stochastic >If the next state of the environment is completely determined by the current state and the action executed by the agent, then the environment is deterministic -for example: Checkers >If the next state of the environment is uncertain to determined by the current state and the action executed by the agent, then the environment is » stochastic. Or there is some randomness involved - for example: Backgammon GED NEWS UVE- Pastas Dajruveneus Steam Intro. to Al | Types of Environment for Rational Agents with Examples ‘vee -Mar29, 2020 6 mo 4 oun = SE ow MD coor wn nr  am eons 81 Camere oe I OMNI aka 9 | a © > younberomiettvetehan = Biouhie 5 % Upnest aurora @ Learning for Desion Making and contol ‘tomatomie Massstomie bet Ine caming teary Difference between gender Stdles and women sade 2 Bost Css preparation ps Ces Subjects Selection Gus CS (osPne oad ‘Auionomous ve integration ‘ebate (gender stasis) OSS TheLeamira feaders Intro. to Al | Types of Environment for Rational Agents with Examples st Avesome Relaxing Natural Sen: ar 02 ee gs cure = coe oe ROUSE Sissies awa MED Learn wih (@ iorntaa | yeeectranes ee a x © > Sw youniancominschvar torent = Bioibe Search a Up nest Static vs. Dynamic -tomiatomie Massstonte tmber Inet esning kenny Difterence between gender; ‘flee end women studes an. Bost Css preparatien tps Oss; ‘Subjects Selection Gute Is. (ost ne foaden Rubik's Cube Foc Autonomous vsintegratin ebate (gander ste) OSS TheLeeminaAceders Intro, to Al | Types of Environment for Rational Agents with Examples st awesome Hloxng Natural viens. Mar29, 2000 ang Bd etation Muse * ies 0 A SHARE =, SAE MD tear wit re 8 sci Tosemion | Gn cs | GORRNE IE aid | - 69 x £9 © 0 yambecenincdvecetarnivent 7 = Biowlubs' ‘Search Q o ; Up wet psr00L Static vs. Dynamic Deep Leeming for Decision Mig ad Gmc, >|f the environment cannot change while an agent is _ Recsereatel ee deliberating, then the enviranment is static for that agent ‘tomintom MassiAtorve -There is no need to keep looking at the world = inp een while it is deciding on an action, nor need it — worry about the passage of time tifenc teen gear ‘fades sed women stuien an? >If the environment can change while an agent is oe deliberating, then the environment is dynamic for Destcss weoaaton pelos: that agent a -Dynamic environments are continuously asking =e the agent what it wants to do; if it hasn't decided ‘Atonomous vs integration yet, that counts as deciding to do nothing ST ewe Intro. to Al | Types of Environment for Rational Agents with Examples Just Awesome Relaxing Natural Sy besa ee gee os sure oy se. ROTORS RIM wae REY = MD enwree ‘Type hereto search