949 search results - page 85 / 190 » Can Doxastic Agents Learn |
108
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ATAL
2008
Springer
15 years 2 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
118
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COR
2008
15 years 28 days ago
2008
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
142
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KBSE
2002
IEEE
15 years 5 months ago
2002
IEEE
Engineering individual components of a multi-agent system and their interactions is a complex and error-prone task in urgent need of methods and tools. Prototyping is a valuable t...
119
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KR
2010
Springer
15 years 4 months ago
2010
Springer
We investigate a class of first-order temporal epistemic logics for the specification of multi-agent systems. We consider well-known properties of multi-agent systems including ...
120
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GECCO
2007
Springer
15 years 7 months ago
2007
Springer
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...