949 search results - page 52 / 190 » Can Doxastic Agents Learn |
115
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IWCLS
1999
Springer
15 years 5 months ago
1999
Springer
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
115
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ROBOCUP
2007
Springer
15 years 6 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
111
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AAAI
2010
15 years 2 months ago
2010
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
84
Voted
CIMCA
2005
IEEE
15 years 6 months ago
2005
IEEE
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
129
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KDD
2002
ACM
16 years 1 months ago
2002
ACM
Multimedia data mining requires the ability to automatically analyze and understand the content. The Community of Multimedia Agents project is devoted to creating a community of re...