Improving Strategic Decisions in Sequential Games by Exploiting Positional Similarity

We study the strategic similarity of game positions in two-player extensive games of perfect information by looking at the structure of their local game trees, with the aim of improving the performance of game-playing agents in detecting forcing continuations. We present a range of measures over the...

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Bibliographic Details
Main Authors: Sabrina Evans, Paolo Turrini
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Games
Subjects:
Online Access:https://www.mdpi.com/2073-4336/14/3/36
Description
Summary:We study the strategic similarity of game positions in two-player extensive games of perfect information by looking at the structure of their local game trees, with the aim of improving the performance of game-playing agents in detecting forcing continuations. We present a range of measures over the induced game trees and compare them against benchmark problems in chess, observing a promising level of accuracy in matching up trap states. Our results can be applied to chess-like interactions where forcing moves play a role, such as those arising in bargaining and negotiation.
ISSN:2073-4336