354 search results - page 13 / 71 » Learning Character Behaviors Using Agent Modeling in Games |
SOFTVIS
2006
ACM
15 years 5 months ago
2006
ACM
Enabling nonexperts to understand a software system and the scenarios of usage of that system can be challenging. Visually modeling a collection of scenarios as social interaction...
118
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ATAL
2011
Springer
13 years 11 months ago
2011
Springer
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
101
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AAAI
2010
15 years 1 months ago
2010
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
159
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SIGMOD
2007
ACM
15 years 12 months ago
2007
ACM
We introduce scalability for computer games as the next frontier for techniques from data management. A very important aspect of computer games is the artificial intelligence (AI)...
144
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AIIDE
2009
15 years 26 days ago
2009
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...