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» Using Learning in a Control Agent
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ATAL
2007
Springer
14 years 3 months ago
Commitment-driven distributed joint policy search
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
Stefan J. Witwicki, Edmund H. Durfee
AGENTS
1998
Springer
14 years 1 months ago
Cognition and Affect: Architectures and Tools
Which agent architectures are capable of justifying descriptions in terms of the `higher level' mental concepts applicable to human beings? We propose a new kind of architect...
Aaron Sloman, Brian Logan
ATAL
2009
Springer
14 years 1 months ago
Effective bidding and deal identification for negotiations in highly nonlinear scenarios
Most real-world negotiation scenarios involve multiple, interdependent issues. These scenarios are specially challenging because the agents' utility functions are nonlinear, ...
Ivan Marsá-Maestre, Miguel A. López-...
ATAL
2006
Springer
14 years 1 months ago
Multiply-constrained distributed constraint optimization
Distributed constraint optimization (DCOP) has emerged as a useful technique for multiagent coordination. While previous DCOP work focuses on optimizing a single team objective, i...
Emma Bowring, Milind Tambe, Makoto Yokoo
MABS
2005
Springer
14 years 2 months ago
An Artificial Maieutic Approach for Eliciting Experts' Knowledge in Multi-agent Simulations
Models of human behaviours used in multi-agent simulations are limited by the ability of introspection of the social actors: some of their knowledge (reflexes, habits, non-formali...
François Sempé, Minh Nguyen-Duc, Sta...