'Static evaluation function' presentation slideshows

Multithreaded Programming in Cilk L ECTURE 3

Multithreaded Programming in Cilk L ECTURE 3. Charles E. Leiserson Supercomputing Technologies Research Group Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Minicourse Outline.

958 views • 70 slides

AD for GAMES

AD for GAMES. Lecture 4. Minimax and Alpha-Beta Reduction. Borrows from Spring 2006 CS 440 Lecture Slides. Motivation. Want to create programs to play games Want to play optimally Want to be able to do this in a reasonable amount of time. Types of Games. Nondeterministic (Chance).

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Course: Engineering Artificial Intelligence

617 views • 46 slides

Game Playing

Game Playing. Generate and Test. Search can be viewed as a generate and test procedures Testing for a complete path is performed after varying amount of work has been done by the generator At one extreme the generator generates a complete path which is evaluated

477 views • 46 slides

SIS

SIS. Sonic In Space. In this presentation. Production process problems Contributions of each team member Demo. Production process Design setback. Not enough time spent on design Not all the code was object-oriented. Solution. Create a new design

487 views • 33 slides

Problem Solving

Problem Solving. Problem Solving. Game Playing Planning. Game Playing. Attractive AI problem, because it is abstract One of the oldest domains of AI In most cases, the world state is fully accessible Computer representation of the situation can be clear and exact. Game Playing.

540 views • 33 slides

Chapter 12 Adversarial Search

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IT/CS 811 Principles of Machine Learning and Inference

IT/CS 811 Principles of Machine Learning and Inference. 3. Rote Learning. Prof. Gheorghe Tecuci. Learning Agents Laboratory Computer Science Department George Mason University. Overview. Rote learning issues. Game playing as a performance task. Rote learning in game paying.

288 views • 28 slides

Adversarial Search

Adversarial Search. Chapter 6. History. Much of the work in this area has been motivated by playing chess, which has always been known as a "thinking person's game".

550 views • 26 slides

Lecture 9 of 42

Lecture 9 of 42. Evaluation Functions and Expectiminimax Discussion: Games in AI. Wednesday, 13 September 2006 William H. Hsu Department of Computing and Information Sciences, KSU KSOL course page: http://snipurl.com/v9v3

559 views • 24 slides