Map-adaptive artificial intelligence for video games

Laurens van der Blom; Sander Bakkes; Pieter Spronck

Map-adaptive artificial intelligence for video games

Laurens van der Blom^*, Sander Bakkes, Pieter Spronck

^*Corresponding author for this work

Maastricht University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

This paper proposes an approach to automatically adapt game AI to the environment of the game (i.e., the socalled map). In the approach, a particular map is first analysed for specific features. Subsequently, an automatically established decision tree is applied to adapt the game AI according to the features of the map. Experiments that test our approach are performed in the RTS game Spring. From our results we may conclude that the approach can be used to automatically establish effective strategies dependent on the map of a game.

Original language	English
Title of host publication	8th International Conference on Intelligent Games and Simulation, GAME-ON 2007
Pages	53-60
Number of pages	8
Publication status	Published - 2007
Event	8th International Conference on Intelligent Games and Simulation, GAME-ON 2007 - Bologna, Italy Duration: 20 Nov 2007 → 22 Nov 2007

Publication series

Name	8th International Conference on Intelligent Games and Simulation, GAME-ON 2007

Conference

Conference	8th International Conference on Intelligent Games and Simulation, GAME-ON 2007
Country/Territory	Italy
City	Bologna
Period	20/11/07 → 22/11/07

Bibliographical note

Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.

Cite this

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title = "Map-adaptive artificial intelligence for video games",

abstract = "This paper proposes an approach to automatically adapt game AI to the environment of the game (i.e., the socalled map). In the approach, a particular map is first analysed for specific features. Subsequently, an automatically established decision tree is applied to adapt the game AI according to the features of the map. Experiments that test our approach are performed in the RTS game Spring. From our results we may conclude that the approach can be used to automatically establish effective strategies dependent on the map of a game.",

author = "{van der Blom}, Laurens and Sander Bakkes and Pieter Spronck",

year = "2007",

language = "English",

isbn = "9789077381373",

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van der Blom, L, Bakkes, S & Spronck, P 2007, Map-adaptive artificial intelligence for video games. in 8th International Conference on Intelligent Games and Simulation, GAME-ON 2007. 8th International Conference on Intelligent Games and Simulation, GAME-ON 2007, pp. 53-60, 8th International Conference on Intelligent Games and Simulation, GAME-ON 2007, Bologna, Italy, 20/11/07.

Map-adaptive artificial intelligence for video games. / van der Blom, Laurens; Bakkes, Sander; Spronck, Pieter.
8th International Conference on Intelligent Games and Simulation, GAME-ON 2007. 2007. p. 53-60 (8th International Conference on Intelligent Games and Simulation, GAME-ON 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Bakkes, Sander

AU - Spronck, Pieter

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N2 - This paper proposes an approach to automatically adapt game AI to the environment of the game (i.e., the socalled map). In the approach, a particular map is first analysed for specific features. Subsequently, an automatically established decision tree is applied to adapt the game AI according to the features of the map. Experiments that test our approach are performed in the RTS game Spring. From our results we may conclude that the approach can be used to automatically establish effective strategies dependent on the map of a game.

AB - This paper proposes an approach to automatically adapt game AI to the environment of the game (i.e., the socalled map). In the approach, a particular map is first analysed for specific features. Subsequently, an automatically established decision tree is applied to adapt the game AI according to the features of the map. Experiments that test our approach are performed in the RTS game Spring. From our results we may conclude that the approach can be used to automatically establish effective strategies dependent on the map of a game.

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AN - SCOPUS:84877957126

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T3 - 8th International Conference on Intelligent Games and Simulation, GAME-ON 2007

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EP - 60

BT - 8th International Conference on Intelligent Games and Simulation, GAME-ON 2007

T2 - 8th International Conference on Intelligent Games and Simulation, GAME-ON 2007

Y2 - 20 November 2007 through 22 November 2007

ER -

Map-adaptive artificial intelligence for video games

Abstract

Publication series

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Bibliographical note

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Cite this