We investigate the best defence model of an imperfect information game. In particular, we prove that finding optimal strategies for this model is NP-complete in the size of the game tree. We then introduce two new heuristics for this problem and show that they out-perform previous algorithms. We demonstrate the practical use and effectiveness of these heuristics by testing them on random game trees and on a hard set of problems from the game of Bridge. For the Bridge problem set, our heuristics actually out-perform the human experts that produced the model solutions
Interactions among agents can be conveniently described by game trees. In order to analyze a game, i...
We derive a recursive formula for expected utility values in imperfect- information game trees, and ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72986/1/j.1467-8640.1996.tb00256.x.pd
AbstractWe examine search algorithms for games with imperfect information. We first investigate Mont...
Although game-tree search works well in perfect-information games, there are problems in trying to u...
An information set in a game tree is a set of nodes from which the rules of the game require that th...
AbstractWe examine search algorithms in games with incomplete information, formalising a best defenc...
Limited lookahead has been studied for decades in perfect-information games. This paper initi-ates a...
We examine search algorithms in games with incomplete information, formalising a best defence model ...
We give a theoretical model of the game Bridge and its simplified variation. We construct an algorit...
International audienceWe consider a game-theoretic setting to model the interplay between attacker a...
Games with incomplete information are games that model situations where players do not have common k...
General Game Playing is a field of research where artificially intelligent systems (agents) are desi...
There has been a recent surge of interest in the role of information in strategic interactions. Much...
When the number of possible strategies is large, it is not computa-tionally feasible to compute the ...
Interactions among agents can be conveniently described by game trees. In order to analyze a game, i...
We derive a recursive formula for expected utility values in imperfect- information game trees, and ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72986/1/j.1467-8640.1996.tb00256.x.pd
AbstractWe examine search algorithms for games with imperfect information. We first investigate Mont...
Although game-tree search works well in perfect-information games, there are problems in trying to u...
An information set in a game tree is a set of nodes from which the rules of the game require that th...
AbstractWe examine search algorithms in games with incomplete information, formalising a best defenc...
Limited lookahead has been studied for decades in perfect-information games. This paper initi-ates a...
We examine search algorithms in games with incomplete information, formalising a best defence model ...
We give a theoretical model of the game Bridge and its simplified variation. We construct an algorit...
International audienceWe consider a game-theoretic setting to model the interplay between attacker a...
Games with incomplete information are games that model situations where players do not have common k...
General Game Playing is a field of research where artificially intelligent systems (agents) are desi...
There has been a recent surge of interest in the role of information in strategic interactions. Much...
When the number of possible strategies is large, it is not computa-tionally feasible to compute the ...
Interactions among agents can be conveniently described by game trees. In order to analyze a game, i...
We derive a recursive formula for expected utility values in imperfect- information game trees, and ...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72986/1/j.1467-8640.1996.tb00256.x.pd