2139 search results - page 363 / 428 » Complexity of Agents and Complexity of Markets |
211
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AAMAS
2012
Springer
14 years 1 months ago
2012
Springer
The importance of affect in delivering engaging experiences in entertainment and educational games is well recognized. Yet, current techniques for building affect-aware games are l...
194
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AAAI
2012
13 years 8 months ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
154
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ATAL
2009
Springer
16 years 23 days ago
2009
Springer
The ability to guarantee that a system will continue to operate correctly under degraded conditions is key to the success of adopting multi-agent systems (MAS) as a paradigm for d...
165
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SMC
2007
IEEE
16 years 13 days ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
205
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GECCO
2007
Springer
16 years 10 days ago
2007
Springer
This paper investigates the impacts of individual egoistic and altruistic behaviors in a virtual society built upon the Vidya game, used here as the social simulation and Multiage...