Robot Soccer Strategy Reduction by Representatives

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10241743" target="_blank" >RIV/61989100:27240/19:10241743 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/19:10241743

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-981-13-1274-8_30" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-13-1274-8_30</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-13-1274-8_30" target="_blank" >10.1007/978-981-13-1274-8_30</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Robot Soccer Strategy Reduction by Representatives

Popis výsledku v původním jazyce

The robot soccer game introduces a variable and dynamic environment for cooperating agents. Coverage of areas such as multi-agent systems, robot control, optimal path planning, real-time image processing and machine learning makes this domain very attractive. This article presents our approach to strategy description of the robot soccer game and a method of real-time strategy adaptation performed during the game. The real-time strategy adaptation method improves the strategy by adding new rules to it. During this process many new rules can be added to the original strategy, thus making it more robust but more difficult to manage. Therefore, this article presents our method for strategy reduction using representatives, in terms of the number of rules within the strategy, while preserving the quality of the adapted strategy. Strategy, as we defined it, describes a space from the real world in which we know the physical coordinates of objects located in it. Therefore, the methods we developed for strategy planning can be applied to it. (C) 2019, Springer Nature Singapore Pte Ltd.

Název v anglickém jazyce

Robot Soccer Strategy Reduction by Representatives

Popis výsledku anglicky

The robot soccer game introduces a variable and dynamic environment for cooperating agents. Coverage of areas such as multi-agent systems, robot control, optimal path planning, real-time image processing and machine learning makes this domain very attractive. This article presents our approach to strategy description of the robot soccer game and a method of real-time strategy adaptation performed during the game. The real-time strategy adaptation method improves the strategy by adding new rules to it. During this process many new rules can be added to the original strategy, thus making it more robust but more difficult to manage. Therefore, this article presents our method for strategy reduction using representatives, in terms of the number of rules within the strategy, while preserving the quality of the adapted strategy. Strategy, as we defined it, describes a space from the real world in which we know the physical coordinates of objects located in it. Therefore, the methods we developed for strategy planning can be applied to it. (C) 2019, Springer Nature Singapore Pte Ltd.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 839

ISBN

978-981-13-1273-1

ISSN

2194-5357

e-ISSN

2194-5365

Počet stran výsledku

16

Strana od-do

385-400

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Puné

Datum konání akce

19. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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