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Artificial Asymmetric potential fields: Asymmetric Potential Fields in Real Time Strategy Game - Couverture souple

Sajjad, Muhammad; Mansur, Muhammad

 
9783844396546: Artificial Asymmetric potential fields: Asymmetric Potential Fields in Real Time Strategy Game
Couverture souple
ISBN 10 : 3844396543 ISBN 13 : 9783844396546
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Potential field is a technique that is used for the navigation of objects in the game environment in order to achieve the natural movements. In this thesis we extended this work by using the asymmetric potential fields in scenarios of one and two types of units. By using asymmetric potential fields we achieved the repelling and attracting behavior of units at the same time. We conducted matches of bots implemented with the symmetric and asymmetric potential fields against the bots who participated in the first tournament of StarCraft competition. We used these bots as a bench mark for the validation of results. We analyzed that the bot with asymmetric potential fields performed better as compared to the bot with symmetric potential fields regarding the completion time, win ratio and number of leader killed. We validated the result by t-test which proves that there was significance difference between the performance of the asymmetric potential field bot and symmetric potential field bot.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Potential field is a technique that is used for the navigation of objects in the game environment in order to achieve the natural movements. In this thesis we extended this work by using the asymmetric potential fields in scenarios of one and two types of units. By using asymmetric potential fields we achieved the repelling and attracting behavior of units at the same time. We conducted matches of bots implemented with the symmetric and asymmetric potential fields against the bots who participated in the first tournament of StarCraft competition. We used these bots as a bench mark for the validation of results. We analyzed that the bot with asymmetric potential fields performed better as compared to the bot with symmetric potential fields regarding the completion time, win ratio and number of leader killed. We validated the result by t-test which proves that there was significance difference between the performance of the asymmetric potential field bot and symmetric potential field bot.

Biographie de l'auteur

Muhammad Sajjad, MS Computer Sciece from Blekinge Institute of Technology, Ronneby, Sweden. B.Sc. Computer Science from University of the Karachi, Karachi, Pakistan. Currently Researching in the field of DIGITAL GAME DEVELOPMENT.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3844396543
ISBN 13 
9783844396546
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
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