Artificial Intelligence Lecture : Heuristic Search-I Ghulam Irtaza Sheikh– Dept CS-BZU Adapted from original course material & others.
Automated Negotiation Agents Sarit Kraus Dept. of Computer Science Bar-Ilan University.
1 Local & Adversarial Search CSD 15-780:Graduate Artificial Intelligence Instructors:Zico Kolter and Zack Rubinstein TA:Vittorio Perera.
Themes and Narratives [email protected]. Practical stuff Supervision today 13.00-15.00 Remember oral presentations next week! Tuesday 10.00-12.00.
Midterm Review Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2011.
1 Chapter 6 Section 1 – 4 Adversarial Search. 2 Outline Optimal decisions α-β pruning Imperfect, real-time decisions.
Discrete Structures Lecture 13: Trees Ji Yanyan United International College Thanks to Professor Michael Hvidsten.
Computer Systems Lab TJHSST Current Projects 2004-2005 Second Period.
Differentiated Menus and Your Classroom 2012 Janessa Stancato Prince William Public Schools K-3 Gifted Resource teacher.
SE 420 1 This time: Outline Game playing The minimax algorithm Resource limitations alpha-beta pruning Elements of chance.
AI CSC361: Game Playing1 Game Playing CSC361. AI CSC361: Game Playing2 Game Playing Why is game playing of interest to AI? How are two player games different.
Adversarial Search Chapter 5 Adapted from Tom Lenaerts’ lecture notes.
