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JOT
2010
144views more  JOT 2010»
15 years 2 months ago
A Tool for Specifying and Validating Agents' Interaction Protocols: From Agent UML to Maude
To achieve the multi-agent systems’ goals, agents interact to exchange information, to cooperate and to coordinate their tasks. Interaction is generally recognized as an importa...
Farid Mokhati, Brahim Sahraoui, Soufiane Bouzaher,...
ADMI
2009
Springer
15 years 11 months ago
Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...
Murat Sensoy, Pinar Yolum
ICML
2006
IEEE
16 years 5 months ago
Relational temporal difference learning
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley
ICML
2002
IEEE
16 years 5 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
AAI
1998
101views more  AAI 1998»
15 years 4 months ago
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server
In the past few years, Multiagent Systems (MAS) has emerged as an active subfield of Artificial Intelligence (AI). Because of the inherent complexity of MAS, there is much inter...
Peter Stone, Manuela M. Veloso