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Goal-Based Game Tree Search for Complex Domains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00170647" target="_blank" >RIV/68407700:21230/10:00170647 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-11819-7_8" target="_blank" >http://dx.doi.org/10.1007/978-3-642-11819-7_8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-11819-7_8" target="_blank" >10.1007/978-3-642-11819-7_8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Goal-Based Game Tree Search for Complex Domains

  • Original language description

    We present a novel approach to reducing adversarial search space by employing background knowledge represented in the form of higher-level goals that players tend to pursue in the game. The algorithm is derived from a simultaneous-move modification of the max n algorithm by limiting the search to those branches of the game tree that are consistent with pursuing player's goals. The algorithm has been tested on a real-world-based scenario modelled as a large-scale asymmetric game. The experimental resultsobtained indicate the ability of the goal-based heuristic to reduce the search space to a manageable level even in complex domains while maintaining the high quality of resulting strategies.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ME09053" target="_blank" >ME09053: Adversarial planning in complex dynamic domains</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Agents and Artificial Intelligence International Conference, ICAART 2009, Porto, Portugal, January 19-21, 2009. Revised Selected Papers

  • ISBN

    978-3-642-11818-0

  • ISSN

    1865-0929

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    97-109

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Porto

  • Event date

    Jan 19, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000278079200008