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» An Agent Model for Analysis of Human Performance Quality
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IDEAL
2000
Springer
13 years 11 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
ATAL
2006
Springer
13 years 11 months ago
Convergence analysis for collective vocabulary development
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
Jun Wang, Les Gasser, Jim Houk
AAAI
1996
13 years 9 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
IAT
2010
IEEE
13 years 5 months ago
Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds
Abstract--There has been growing interest in creating intelligent agents in virtual worlds that do not follow fixed scripts predefined by the developers, but react accordingly base...
Yilin Kang, Ah-Hwee Tan
ATAL
2006
Springer
13 years 11 months ago
Learning empathy: a data-driven framework for modeling empathetic companion agents
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Scott W. McQuiggan, James C. Lester