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» Evolution and learning in multiagent systems
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EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide
ITICSE
2005
ACM
14 years 2 months ago
eFuzion: development of a pervasive educational system
Established as a research project at the University of Illinois in the spring of 2002, eFuzion has proven to be a valuable and effective pedagogical set of tools. It provides the ...
Chad Peiper, David Warden, Ellick Chan, Boris Capi...
ICTAI
2009
IEEE
14 years 3 months ago
Collaborative Concept Learning: Non Individualistic vs Individualistic Agents
This article addresses collaborative learning in a multiagent system: each agent revises incrementally its beliefs B (a concept representation) to keep it consistent with the whol...
Gauvain Bourgne, Dominique Bouthinon, Amal El Fall...
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
14 years 3 months ago
Heterogeneous and Hierarchical Cooperative Learning via Combining Decision Trees
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
Masoud Asadpour, Majid Nili Ahmadabadi, Roland Sie...
IAT
2006
IEEE
14 years 3 months ago
Evaluating Different Genetic Operators in the Testing for Unwanted Emergent Behavior Using Evolutionary Learning of Behavior
We present an experimental comparison of different genetic operators regarding their use in an evolutionary learning method that searches for unwanted emergent behavior in a multi...
Jörg Denzinger, Jordan Kidney