StarCraft: Brood War - Strategy powered by the SOMA swarm algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096911" target="_blank" >RIV/61989100:27240/15:86096911 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/15:86096911

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7317903&newsearch=true&queryText=zelinka%20cig" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7317903&newsearch=true&queryText=zelinka%20cig</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CIG.2015.7317903" target="_blank" >10.1109/CIG.2015.7317903</a>

Jazyk výsledku

angličtina

Název v původním jazyce

StarCraft: Brood War - Strategy powered by the SOMA swarm algorithm

Popis výsledku v původním jazyce

This participation is focused on artificial intelligence techniques and their practical use in computer game. The aim is to show how program (based on evolutionary algorithms) can replace a man in the strategy game StarCraft: Brood War. Implementation used in our experiments use classic techniques of artificial intelligence environments, as well as unconventional techniques, such as evolutionary computation. An artificial player, proposed in this paper, is the combination of the decision tree and evolutionary algorithm SOMA. Whole code for experiments was written in the Java programming language. The proposed code provides a simple implementation of the artificial computer player in combination with slightly modified algorithm SOMA. This provides an opportunity for effective, coordinated movement of combat units around the combat landscape. Research reported here has shown potential benefit of evolutionary computation in the field of strategy games.

Název v anglickém jazyce

StarCraft: Brood War - Strategy powered by the SOMA swarm algorithm

Popis výsledku anglicky

This participation is focused on artificial intelligence techniques and their practical use in computer game. The aim is to show how program (based on evolutionary algorithms) can replace a man in the strategy game StarCraft: Brood War. Implementation used in our experiments use classic techniques of artificial intelligence environments, as well as unconventional techniques, such as evolutionary computation. An artificial player, proposed in this paper, is the combination of the decision tree and evolutionary algorithm SOMA. Whole code for experiments was written in the Java programming language. The proposed code provides a simple implementation of the artificial computer player in combination with slightly modified algorithm SOMA. This provides an opportunity for effective, coordinated movement of combat units around the combat landscape. Research reported here has shown potential benefit of evolutionary computation in the field of strategy games.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA15-06700S" target="_blank" >GA15-06700S: Nekonvenční řízení komplexních systémů</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

2015 IEEE Conference on Computational Intelligence and Games : August 31 - September 2, 2015 : proceedings

ISBN

978-1-4799-8621-7

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

511 - 516

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Thainan

Datum konání akce

31. 8. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—