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» Evolution and learning in multiagent systems
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SAC
2002
ACM
13 years 7 months ago
Simulating evolutionary agent communities with OOCSMP
This paper describes some extensions added to the continuous simulation language OOCSMP to perform agent-oriented simulation. The extensions are tested by simulating the evolution...
Manuel Alfonseca, Juan de Lara
ATAL
2011
Springer
12 years 7 months ago
Learning action models for multi-agent planning
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qian...
WEBI
2009
Springer
14 years 2 months ago
Adapting Reinforcement Learning for Trust: Effective Modeling in Dynamic Environments
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
Özgür Kafali, Pinar Yolum
ATAL
2007
Springer
13 years 11 months ago
Dynamically learning sources of trust information: experience vs. reputation
Categories and Subject Descriptors Artificial Intelligence Intelligent Agents, Multiagent Systems General Terms Keywords
Karen Fullam, K. Suzanne Barber
EWCBR
2006
Springer
13 years 11 months ago
Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners
Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...
Thomas Gabel, Martin Riedmiller