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» Rapid Adaptation of Video Game AI
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GAMEON
2008
13 years 6 months ago
Rapid Adaptation of Video Game AI
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 rap...
Sander Bakkes, Pieter Spronck, H. Jaap van den Her...
GAMEON
2007
13 years 6 months ago
Map-Adaptive Artificial Intelligence for Video Games
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 sp...
Laurens van der Blom, Sander Bakkes, Pieter Spronc...
ATAL
2010
Springer
13 years 6 months ago
High-level reinforcement learning in strategy games
Video games provide a rich testbed for artificial intelligence methods. In particular, creating automated opponents that perform well in strategy games is a difficult task. For in...
Christopher Amato, Guy Shani
CHI
2009
ACM
14 years 5 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
HCI
2009
13 years 2 months ago
Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion
Responsive Adaptive Display Anticipates Requests (RADAR) is a domain general system that learns to highlight an individual's preferred information displays, given the current ...
Marc T. Tomlinson, Michael Howe, Bradley C. Love