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NECO
2007
150views more  NECO 2007»
14 years 9 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 3 months ago
Event-driven learning classifier systems for online soccer games
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Yuji Sato, Ryutaro Kanno
ICETE
2004
253views Business» more  ICETE 2004»
14 years 11 months ago
BLAZE: A Mobile Agent Paradigm for VoIP Intrusion Detection Systems
ser provides abstraction for supporting flexible security policies that can be developed using the low-level primitives of the browser. We believe our browser architecture will be ...
Kapil Singh, Son T. Vuong
IAT
2006
IEEE
15 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
ECAI
2006
Springer
15 years 1 months ago
Testing the Limits of Emergent Behavior in MAS Using Learning of Cooperative Behavior
Abstract. We present a method to test a group of agents for (unwanted) emergent behavior by using techniques from learning of cooperative behavior. The general idea is to mimick us...
Jordan Kidney, Jörg Denzinger