A Bayesian approach to relevance in game playing-Reference-Cited by-同舟云学术

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A Bayesian approach to relevance in game playing

Published:1997-12 Issue:1-2 Volume:97 Page:195-242
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Baum Eric B.,Smith Warren D.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference48 articles.

1. A statistical study of selective Min-Max search in computer chess;Anantharaman,1990

2. Extension heuristics;Anantharaman;ICCA J.,1991

3. Singular extensions; adding selectivity to brute force searching;Anantharaman;Artificial Intelligence,1990

4. On optimal game tree propagation for imperfect players;Baum,1992

5. How a Bayesian approaches games like chess;Baum,1993

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1. Using Chess for Identifying and Correcting “Problem Areas” in the School Math Course;TEM Journal;2021-02-27

2. Cross‐layer security design for encrypted CPS based on modified security signalling game;Asian Journal of Control;2019-01-24

3. On Monte-Carlo tree search for deterministic games with alternate moves and complete information;ESAIM: Probability and Statistics;2019

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5. Monte Carlo Tree Search with Robust Exploration;Computers and Games;2016

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