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Description
  • Prezentujeme originální přístup k redukci rozsahu prohledávání herního stromu s použitím znalostí reprezentovaných jako cíle jednotlivých hráčů na vyšší úrovni abstrakce. Algoritmus je založený na algoritmu maxn upraveném pro současné tahy, který prohledává jen větve herního stromu konzistentní se směřováním k některým z cílů. Algoritmus byt testován na simulaci realistického scénáře modelovaného jako rozsáhlá asymetrická hra. Získané experimentální výsledky ukazují schopnosti heuristiky založené na cílech, která umožňuje zredukovat prohledávaný prostor na zvládnutelnou velkost a i v komplexních doménách si zachovat vysokou kvalitu nalezených řešení. (cs)
  • We present a novel approach to reducing adversarial search space by using 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 maxn algorithm by only searching the 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 using 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 maxn algorithm by only searching the 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 Adversarial Search - Searching Game Trees in Complex Domains using Goal-based Heuristic
  • Goal-Based Adversarial Search - Searching Game Trees in Complex Domains using Goal-based Heuristic (en)
  • Prohledávaní herních stromů v složitých doménách s použitím heuristiky založené na cílech (cs)
skos:prefLabel
  • Goal-Based Adversarial Search - Searching Game Trees in Complex Domains using Goal-based Heuristic
  • Goal-Based Adversarial Search - Searching Game Trees in Complex Domains using Goal-based Heuristic (en)
  • Prohledávaní herních stromů v složitých doménách s použitím heuristiky založené na cílech (cs)
skos:notation
  • RIV/68407700:21230/09:03152773!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • 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
  • 316547
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:03152773
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • game tree searc, adversarial planning; goal, background knowledge; complex domain (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8D5ABAE6EE18]
http://linked.open...v/mistoKonaniAkce
  • Porto
http://linked.open...i/riv/mistoVydani
  • Setúbal
http://linked.open...i/riv/nazevZdroje
  • First International Conference on Agents and Artificial Intelligence, Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
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.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Institute for Systems and Technologies of Information, Control and Communication
https://schema.org/isbn
  • 978-989-8111-66-1
http://localhost/t...ganizacniJednotka
  • 21230
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