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» Using Learning in a Control Agent
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ATAL
2007
Springer
16 years 14 days 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
15 years 10 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
15 years 10 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
15 years 10 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
15 years 11 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...