Improving Strategy in Robot Soccer Game by Sequence Extraction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86091968" target="_blank" >RIV/61989100:27240/14:86091968 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86091968

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S1877050914011697#" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1877050914011697#</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2014.08.204" target="_blank" >10.1016/j.procs.2014.08.204</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Improving Strategy in Robot Soccer Game by Sequence Extraction

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 look at the overall architecture of the game and describes some results of our experiments in analysis and optimization of strategies using sequence extraction. We have extracted sequences of game situations from the log of a game played in our simulator, as they occurred during the game. Afterwards, these sequences were compared by methods LCS, LCSS and T-WLCS, which are usually used for sequence comparison in the sequence alignment area. Using these methods, we are able to visualize the relations between the sequences of game situations and clusters of similar game situations in a graph. In conclusion, a possible description improvement of these game situations is introduced. Therefore, a possible strategy improvement to ensure a smoother and faster performing of actions defined by these

Název v anglickém jazyce

Improving Strategy in Robot Soccer Game by Sequence Extraction

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 look at the overall architecture of the game and describes some results of our experiments in analysis and optimization of strategies using sequence extraction. We have extracted sequences of game situations from the log of a game played in our simulator, as they occurred during the game. Afterwards, these sequences were compared by methods LCS, LCSS and T-WLCS, which are usually used for sequence comparison in the sequence alignment area. Using these methods, we are able to visualize the relations between the sequences of game situations and clusters of similar game situations in a graph. In conclusion, a possible description improvement of these game situations is introduced. Therefore, a possible strategy improvement to ensure a smoother and faster performing of actions defined by these

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

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)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Procedia Computer Science. Volume 35

ISBN

—

ISSN

1877-0509

e-ISSN

—

Počet stran výsledku

10

Strana od-do

"1445-1454"

Název nakladatele

Elsevier

Místo vydání

Amsterdam

Místo konání akce

Gdynia

Datum konání akce

15. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000345394100153