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Strategy-acquisition system for video trading card game

Published: 03 December 2008 Publication History

Abstract

Behavior and strategy of computers(COM) have recently attracted considerable attention with regards to video games, with the development of hardware and the spread of entertainment on the Internet. Previous studies have reported strategy-acquisition schemes for board games and fighting games. However, there have been few studies dealing with the scheme applicable for video Trading Card Games (video TCG). We present an automatic strategy-acquisition system for video TCGs. The proposed strategy-acquisition system uses a sampling technique, Action predictor, and State value function for obtaining rational strategy from many unobservable variables in a large state space. Computer simulations, where our agent played against a Rule-based agent, showed that a COM with the proposed strategy-acquisition system becomes stronger and more adaptable against an opponent's strategy.

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  • (2012)Autonomously acquiring a video game agent's behaviorProceedings of the 9th international conference on Advances in Computer Entertainment10.1007/978-3-642-34292-9_42(490-493)Online publication date: 3-Nov-2012

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    cover image ACM Conferences
    ACE '08: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
    December 2008
    427 pages
    ISBN:9781605583938
    DOI:10.1145/1501750
    • General Chairs:
    • Masa Inakage,
    • Adrian David Cheok
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 03 December 2008

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    Author Tags

    1. COM
    2. machine learning
    3. strategy acquisition
    4. trading card game
    5. video game

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    • (2012)Autonomously acquiring a video game agent's behaviorProceedings of the 9th international conference on Advances in Computer Entertainment10.1007/978-3-642-34292-9_42(490-493)Online publication date: 3-Nov-2012

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