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ATAL
2011
Springer
8 years 1 months ago
A computational model of achievement motivation for artificial agents
Computational models of motivation are tools that artificial agents can use to autonomously identify, prioritize, and select the goals they will pursue. Previous research has focu...
Kathryn Elizabeth Merrick
MICAI
2004
Springer
9 years 6 months ago
A Biologically Motivated and Computationally Efficient Natural Language Processor
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
João Luís Garcia Rosa
ATAL
2008
Springer
9 years 3 months ago
Artificial agents learning human fairness
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
Steven de Jong, Karl Tuyls, Katja Verbeeck
ICONIP
2009
8 years 11 months ago
Effectiveness of Intrinsically Motivated Adaptive Agent for Sustainable Human-Agent Interaction
To achieve sustainable human-agent interaction (HAI), we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy...
Takayuki Nozawa, Toshiyuki Kondo
ACMACE
2006
ACM
9 years 7 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
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