About: Goal-Based Game Tree Search for Complex Domains     Goto   Sponge   NotDistinct   Permalink

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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 results obtained 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.
  • 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 results obtained 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. (en)
Title
  • Goal-Based Game Tree Search for Complex Domains
  • Goal-Based Game Tree Search for Complex Domains (en)
skos:prefLabel
  • Goal-Based Game Tree Search for Complex Domains
  • Goal-Based Game Tree Search for Complex Domains (en)
skos:notation
  • RIV/68407700:21230/10:00170647!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ME09053), Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 260863
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00170647
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Game Tree Search; Procedural Knowledge; Goals; Complex domain; Articial Intelligence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E8B0F1D33120]
http://linked.open...v/mistoKonaniAkce
  • Porto
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Agents and Artificial Intelligence International Conference, ICAART 2009, Porto, Portugal, January 19-21, 2009. Revised Selected Papers
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bošanský, Branislav
  • Jakob, Michal
  • Lisý, Viliam
  • Pěchouček, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000278079200008
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1865-0929
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-11819-7_8
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-11818-0
http://localhost/t...ganizacniJednotka
  • 21230
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