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Game-Playing & Adversarial Search

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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787 views • 68 slides
Game-Playing & Adversarial Search

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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697 views • 68 slides
More Planning and Prolog Operators

More Planning and Prolog Operators

More Planning and Prolog Operators. Artificial Intelligence Programming in Prolog Lecturer: Tim Smith Lecture 16 22/11/04. Contents. Planning continued Implementing MEA Protecting Goals Best-first Planning Partial Order Planning Operators What operators do

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702 views • 27 slides
Adversarial Search: Game Playing

Adversarial Search: Game Playing

Adversarial Search: Game Playing. Reading: Chess paper. Agenda. Review of game-playing approaches A how-to example: Checkers Your homework. Minimax Algorithm Alternate levels of tree represent MAX (computer) and MIN (opponent) Depth first search for optimal strategy for MAX

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351 views • 23 slides
Uniform-Cost Search

Uniform-Cost Search

Uniform-Cost Search. Edges have different costs Instead of expanding nodes in order of their depth from root expand in order of cost from root At each step, expand a node whose cost g(n) is lowest where g(n) is sum of costs of edges from root to node n Nodes are stored in a priority queue

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1.69k views • 23 slides
8 ? ??

8 ? ??

8 ? ??. Game Playing. Games as search problems. Chess, Go Simulation of war (war game) ??????? ?? Claude Shannon, Alan Turing ? Chess program (1950 ?? ). Contingency problems. The opponent introduces uncertainty ?????? co-work ? ?? ?????? co-work ??? ??

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184 views • 18 slides
More Planning

More Planning

More Planning . Artificial Intelligence Programming in Prolog. Contents. Planning continued Implementing MEA Protecting Goals Best-first Planning Partial Order Planning Operators What operators do How the built-in operators work How to define your own operators

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234 views • 12 slides

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