Improving Rule Selection from Robot Soccer Strategy with Substrategies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86091972" target="_blank" >RIV/61989100:27240/14:86091972 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86091972

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-662-45237-0_9" target="_blank" >http://dx.doi.org/10.1007/978-3-662-45237-0_9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-662-45237-0_9" target="_blank" >10.1007/978-3-662-45237-0_9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Improving Rule Selection from Robot Soccer Strategy with Substrategies

Popis výsledku v původním jazyce

Robot Soccer is a very attractive platform in terms of research. It contains a number of challenges in the areas of robot control, artificial intelligence and image analysis. This article presents a method to improve the description of the strategy by creating substrategies in strategy and thus ensuring smoother implementation of actions defined by this strategy. In presented method we have extracted sequences of game situations from the log of a game played in our simulator, as they occurred during thegame. Afterwards, these sequences were compared by methods for sequence comparison and thus we are able to visualize relations between the sequences of game situations and clusters of similar game situations in a graph. This output seems to be very helpful feedback for further strategy development.

Název v anglickém jazyce

Improving Rule Selection from Robot Soccer Strategy with Substrategies

Popis výsledku anglicky

Robot Soccer is a very attractive platform in terms of research. It contains a number of challenges in the areas of robot control, artificial intelligence and image analysis. This article presents a method to improve the description of the strategy by creating substrategies in strategy and thus ensuring smoother implementation of actions defined by this strategy. In presented method we have extracted sequences of game situations from the log of a game played in our simulator, as they occurred during thegame. Afterwards, these sequences were compared by methods for sequence comparison and thus we are able to visualize relations between the sequences of game situations and clusters of similar game situations in a graph. This output seems to be very helpful feedback for further strategy development.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science. Volume 8838

ISBN

978-3-662-45236-3

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

12

Strana od-do

77-88

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Ho Chi Minh City

Datum konání akce

5. 11. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000346243400009