Strategy description and modelling for multi-agent systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A00021060" target="_blank" >RIV/61989100:27240/08:00021060 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Strategy description and modelling for multi-agent systems

Popis výsledku v původním jazyce

The field of robot soccer provides numerous opportunities for the application of AI methods for game strategy development. Robot soccer is a part of standard applications of distributed system control in real time. The software part of a distributed control system is realized by decision making and executive agents. The algorithm of agents' cooperation was proposed with the control agent on a higher level. The algorithms for agents realized in robots are the same. Real-time dynamic simple strategy description and strategy learning possibility based on game observation is important for discovering opponent?s strategies and searching for tactical group movements, simulation and synthesis of suitable counter-strategies. For the improvement of game strategy, we are developing an abstract description of the game and propose ways to use this description (e.g. for learning rules and adapting team strategies to every single opponent).

Název v anglickém jazyce

Strategy description and modelling for multi-agent systems

Popis výsledku anglicky

The field of robot soccer provides numerous opportunities for the application of AI methods for game strategy development. Robot soccer is a part of standard applications of distributed system control in real time. The software part of a distributed control system is realized by decision making and executive agents. The algorithm of agents' cooperation was proposed with the control agent on a higher level. The algorithms for agents realized in robots are the same. Real-time dynamic simple strategy description and strategy learning possibility based on game observation is important for discovering opponent?s strategies and searching for tactical group movements, simulation and synthesis of suitable counter-strategies. For the improvement of game strategy, we are developing an abstract description of the game and propose ways to use this description (e.g. for learning rules and adapting team strategies to every single opponent).

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA201%2F06%2F0756" target="_blank" >GA201/06/0756: Vývoj nativního úložiště pro XML data</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

7th International Conference on Computer Information Systems and Industrial Management Applications

ISBN

978-0-7695-3184-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos, California

Místo konání akce

Ostrava, Czech Republic

Datum konání akce

26. 6. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000257945400007