PPT-Minimax

Two Player Game Playing Use backtracking to implement computer version of 2player games tictactoe chess checkers connect four Minimax algorithm Backtracking algorithm for choosing next move in an 2player game. C Lask ari KE arsop oulos and MN rahatis Departmen of Mathematics Univ ersit of P atras Arti cial In telligence Researc Cen ter UP AIR C GR26110 P atras Greece elena k ostasp vrahatis mathupatrasgr Abstract This pap er in estigates the abilit of the Duchi Michael I Jordan and Martin J Wainwright Department of Electrical Engineering and Computer Science and Department of Statistics University of California Berkeley jduchijordanwainwrig eecsberkeleyedu Abstract Working under local differential p CS482, CS682, MW 1 – 2:15, SEM 201, MS 227. Prerequisites: 302, 365. Instructor: . Sushil. Louis, . sushil@cse.unr.edu. , . http://www.cse.unr.edu/~sushil. Games and game trees. Multi-agent systems + competitive environment . MiniMax. , Search Cut-off, Heuristic Evaluation. This lecture topic:. Game-Playing & Adversarial Search . (. MiniMax. , Search Cut-off, . Heuristic . Evaluation). Read Chapter 5.1-5.2. , 5.4.1-2, . Foundations of Artificial Intelligence. Bart Selman. selman@cs.cornell.edu. Module: . Adversarial Search . R&N: Chapter 5. Part II. Outline. Game Playing. Optimal decisions. Minimax. α-β pruning. - Beta pruning to play Quarto Thomas Marstrander 24.10.2012 Overview of my classes : Map: T his class ha ndles the state (S) of the board, including all it s ’ pieces, the current player, boa Foundations of Artificial Intelligence. Bart Selman. selman@cs.cornell.edu. Module: . Adversarial Search . R&N: Chapter 5. Part II. Outline. Game Playing. Optimal decisions. Minimax. α-β pruning. (Chapter 5). World Champion chess player Garry Kasparov . is . defeated by IBM’s Deep Blue chess-playing computer in a . six-game . match in May, . 1997. (. link. ). © Telegraph Group . Unlimited 1997. ñ. oz-Avila. sources: . http://www.game-research.com/. www.gamespot.com. Wikipedia.org. Russell & Norvig AI Book; Chapter 5 (and slides). Jonathan Schaeffer’s AAW 05 presentation . My own. Turn-Based Strategy Games. Fully observable . (vs. partially observable): An agent's sensors give it access to the complete state of the environment at each point in time. .. Deterministic . (vs. stochastic): The next state of the environment is completely determined by the current state and the action executed by the agent. . Prerequisites: 302, 365. Instructor: . Sushil. Louis, . sushil@cse.unr.edu. , . http://www.cse.unr.edu/~sushil. Games and game trees. Multi-agent systems competitive environment .  games and a. earch. Why study games?. Games are a traditional hallmark of intelligence. Games are easy to formalize. Games can be a good model of real-world competitive activities. Military confrontations, negotiation, auctions, etc.. Vincent Conitzer. Duke University. overview article:. V. Conitzer. Computing Game-Theoretic Solutions and Applications to Security. . Proc. AAAI’12.. Game theory. Multiple . self-interested . agents interacting in the same environment. earch. Why study games?. Games can be a good model of many competitive activities. Military confrontations, negotiation, auctions, …. Games are a traditional hallmark of intelligence. Contrarian viewpoint (textbook): .