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Game-Playing & Adversarial Search

This lecture topic: Game-Playing & Adversarial Search (two lectures) Chapter 5.1-5.5 Next lecture topic: Constraint Satisfaction Problems (two lectures) Chapter 6.1-6.4, except 6.3.3 (Please read lecture topic material before and after each lecture on that topic).

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815 views • 68 slides

G ames with Chance

G ames with Chance. 2012/04/25. N ondeterministic Games: Backgammon. White moves clockwise toward 25. Black moves counterclockwise toward 0. A piece can move to any position unless there are multiple opponent pieces there; if there is one opponent, it is captured and must start over.

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5.2 Computing with XSLT

5.2 Computing with XSLT. XSLT is principally a declarative rule-based language Can we express procedural computations with XSLT? What is the exact computational power of XSLT? We've seen some programming-like features: iteration over selected source nodes ( xsl:for-each )

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336 views • 16 slides

For Monday

For Monday. Read chapter 7, sections 1-4 Homework: Chapter 4, exercise 1 Chapter 5, exercise 9. Program 1. Any questions?. Making Imperfect Decisions. Generating the complete game tree is intractable for most games Alternative: Cut off search

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274 views • 15 slides

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Game-Playing &amp; Adversarial Search

G ames with Chance

5.2 Computing with XSLT

For Monday

Game-Playing & Adversarial Search