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» Learning Models of Intelligent Agents
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AAAI
2008
15 years 6 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
155
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ATAL
2007
Springer
15 years 9 months ago
Aborting tasks in BDI agents
Intelligent agents that are intended to work in dynamic environments must be able to gracefully handle unsuccessful tasks and plans. In addition, such agents should be able to mak...
John Thangarajah, James Harland, David N. Morley, ...
AIIDE
2006
15 years 5 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
137
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ATAL
2010
Springer
15 years 3 months ago
A probabilistic model for trust and reputation
This paper concerns the problem of agent trust in an electronic market place. We maintain that agent trust involves making decisions under uncertainty and therefore the phenomenon...
George Vogiatzis, Ian MacGillivray, Maria Chli
PROMAS
2004
Springer
15 years 9 months ago
Goal Representation for BDI Agent Systems
Abstract. Agent-oriented system development aims to simplify the conn of complex systems by introducing a natural abstraction layer on top of the object-oriented paradigm composed ...
Lars Braubach, Alexander Pokahr, Daniel Moldt, Win...