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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)
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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)
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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)
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skos:notation
| - RIV/68407700:21230/09:03152773!RIV09-MSM-21230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/09:03152773
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - game tree searc, adversarial planning; goal, background knowledge; complex domain (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - First International Conference on Agents and Artificial Intelligence, Proceedings
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Bošanský, Branislav
- Jakob, Michal
- Lisý, Viliam
- Pěchouček, Michal
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Institute for Systems and Technologies of Information, Control and Communication
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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