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ATAL
2006
Springer
9 years 11 months ago
Awareness as a vital ingredient of teamwork
For successful coordination and cooperation in a multiagent system, participants need to establish a sufficiently accurate awareness of the current situation. Awareness is underst...
Barbara Dunin-Keplicz, Rineke Verbrugge
ATAL
2006
Springer
9 years 11 months ago
Deriving axioms across ontologies
Ontologies play a key role in agent communication and the emerging Semantic Web. Axioms are an important component of ontologies to describe the relationships among the concepts. ...
Dejing Dou, Drew V. McDermott
ATAL
2006
Springer
9 years 11 months ago
Resource allocation among agents with preferences induced by factored MDPs
Distributing scarce resources among agents in a way that maximizes the social welfare of the group is a computationally hard problem when the value of a resource bundle is not lin...
Dmitri A. Dolgov, Edmund H. Durfee
ATAL
2006
Springer
9 years 11 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
ATAL
2006
Springer
9 years 11 months ago
Learning to cooperate in multi-agent social dilemmas
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
ATAL
2006
Springer
9 years 11 months ago
A technique for reducing normal-form games to compute a Nash equilibrium
We present a technique for reducing a normal-form (aka. (bi)matrix) game, O, to a smaller normal-form game, R, for the purpose of computing a Nash equilibrium. This is done by com...
Vincent Conitzer, Tuomas Sandholm
ATAL
2006
Springer
9 years 11 months ago
Failures of the VCG mechanism in combinatorial auctions and exchanges
The VCG mechanism is the canonical method for motivating bidders in combinatorial auctions and exchanges to bid truthfully. We study two related problems concerning the VCG mechan...
Vincent Conitzer, Tuomas Sandholm
ATAL
2006
Springer
9 years 11 months ago
Learnable behavioural model for autonomous virtual agents: low-level learning
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...
Toni Conde, Daniel Thalmann
ATAL
2006
Springer
9 years 11 months ago
ANEMONE: an effective minimal ontology negotiation environment
Communication in open heterogeneous multi agent systems is hampered by lack of shared ontologies. To overcome these problems, we propose a layered communication protocol which inc...
Jurriaan van Diggelen, Robbert-Jan Beun, Frank Dig...
ATAL
2006
Springer
9 years 11 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
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