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» Evolutionary Multi-agent Systems
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SOFTCO
2004
Springer
14 years 27 days ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
HICSS
2003
IEEE
164views Biometrics» more  HICSS 2003»
14 years 25 days ago
From Computer Networks to Agent Networks
From the 1990s on, one of the most important challenges facing computer science researchers has been the design and construction of software tools to exploit Internet computing. A...
Guoqiang Zhong, Kenichi Takahashi, Satoshi Amamiya...
CEEMAS
2003
Springer
14 years 24 days ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Karl Tuyls, Katja Verbeeck, Sam Maes
COMPSAC
2002
IEEE
14 years 16 days ago
Quantitative Aspects of Requirements Evolution
Requirements Evolution is considered one of the most critical issues in developing computer-based systems. Despite the recognised role of requirements in Software Engineering, Req...
Stuart Anderson, Massimo Felici
EH
2002
IEEE
266views Hardware» more  EH 2002»
14 years 15 days ago
Towards Evolvable Analog Fuzzy Logic Controllers
Fuzzy Logic has proved to be a very powerful technique in the discipline of system control. A Fuzzy Logic Controller is defined by a collection of fuzzy if-then rules and a set of...
José Franco Machado do Amaral, Jorge Lu&iac...