Abstract
Current approaches to adaptive game AI require either a high quality of utilised domain knowledge, or a large number of adaptation trials. These requirements hamper the goal of rapidly adapting game AI to changing circumstances. In an alternative, novel approach, domain knowledge is gathered automatically by the game AI, and is immediately (i.e., without trials and without resource-intensive learning) utilised to evoke effective behaviour. In this paper we discuss this approach, called 'rapidly adaptive game AI'. We perform experiments that apply the approach in an actual video game. From our results we may conclude that rapidly adaptive game AIprovides a strong basis for effectively adapting game AI in actual video games.
Original language | English |
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Title of host publication | 9th International Conference on Intelligent Games and Simulation, GAME-ON 2008 |
Pages | 69-76 |
Number of pages | 8 |
Publication status | Published - 2008 |
Event | 9th International Conference on Intelligent Games and Simulation, GAME-ON 2008 - Valencia, Spain Duration: 17 Nov 2008 → 19 Nov 2008 |
Publication series
Name | 9th International Conference on Intelligent Games and Simulation, GAME-ON 2008 |
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Conference
Conference | 9th International Conference on Intelligent Games and Simulation, GAME-ON 2008 |
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Country/Territory | Spain |
City | Valencia |
Period | 17/11/08 → 19/11/08 |
Bibliographical note
Copyright:Copyright 2013 Elsevier B.V., All rights reserved.