'Adversarial search' presentation slideshows

Adversarial Search

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Announcements

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CSE 473: Artificial Intelligence Spring 2012

CSE 473: Artificial Intelligence Spring 2012. Adversarial Search: Expectimax Dan Weld. Based on slides from Dan Klein, Stuart Russell, Andrew Moore and Luke Zettlemoyer. 1. Space of Search Strategies. Blind Search DFS, BFS, IDS Informed Search Systematic: Uniform cost, greedy, A*, IDA*

455 views • 31 slides

Von Neuman (Min-Max theorem)

Claude Shannon (finite look-ahead). Chaturanga, India (~550AD) (Proto-Chess). Von Neuman (Min-Max theorem). Donald Knuth ( a-b analysis). John McCarthy ( a-b pruning). Wilmer McLean. The war began in my front yard and ended in my front parlor.

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CS 5368: Artificial Intelligence Fall 2010

CS 5368: Artificial Intelligence Fall 2010. Lecture 5: Search Part 4 9/9/2010. Mohan Sridharan Slides adapted from Dan Klein. Announcements. Search assignment will be up shortly. Notice change in assignment content and deadlines. Include a few questions/comments in all future responses.

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Game Playing: Adversarial Search

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???????? 2013/09/12

AI. ???????? 2013/09/12. Part I & Part II.

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Adversarial Search

326 views • 21 slides

Adversarial Search

Adversarial Search. Outline. Optimal decisions ?-? pruning Imperfect, real-time decisions. Games vs. search problems. "Unpredictable" opponent ? specifying a move for every possible opponent reply Time limits ? unlikely to find goal, must approximate.

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Adversarial Search

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Unit 2 Adversarial Search

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Game-Playing

Game-Playing. Read Chapter 6 Adversarial Search. Game Types. Two-person games vs multi-person chess vs monopoly Perfect Information vs Imperfect checkers vs card games Deterministic vs Non-deterministic go vs backgammon. Two-Person Games: Perfect Information.

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Adversarial Search

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CS 331 / CMPE 334 – Intro to AI CS 531 / CMPE 531 - AI

CS 331 / CMPE 334 – Intro to AI CS 531 / CMPE 531 - AI. Course Outline. Description. This course covers the foundations of artificial intelligence (AI) and intelligent systems. first course in the stream

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Applications for Gaming in AI

Applications for Gaming in AI. Sample Projects from Computational Intelligence Course at Washburn University. Outline. Sample projects from this course Challenges. Applications of Informed Search.

207 views • 9 slides