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» Map-Adaptive Artificial Intelligence for Video Games
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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
AIIDE
2008
13 years 8 months ago
Monte-Carlo Tree Search: A New Framework for Game AI
Classic approaches to game AI require either a high quality of domain knowledge, or a long time to generate effective AI behaviour. These two characteristics hamper the goal of es...
Guillaume Chaslot, Sander Bakkes, Istvan Szita, Pi...
EVOW
2010
Springer
14 years 17 days ago
Towards a Generic Framework for Automated Video Game Level Creation
This paper presents a generative system for the automatic creation of video game levels. Our approach is novel in that it allows high-level design goals to be expressed in a top-do...
Nathan Sorenson, Philippe Pasquier
AIIDE
2008
13 years 8 months ago
Integrating Drama Management into an Adventure Game
Often, video game designers must choose between creating a linear experience, and designing an open world with many different story lines that fail to form a tightly crafted narra...
Anne Sullivan, Sherol Chen, Michael Mateas
AIIDE
2008
13 years 8 months ago
Modeling the Dynamics of Non-Player Characters' Social Relations in Video Games
Building credible Non-Playing Characters (NPCs) in games requires not only to enhance the graphic animation but also the behavioral model. This paper tackles the problem of the dy...
Magalie Ochs, Nicolas Sabouret, Vincent Corruble