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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
CEC
2009
IEEE
15 years 8 months ago
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
— The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equal...
Jean-Baptiste Mouret, Stéphane Doncieux
99
Voted
GECCO
2009
Springer
15 years 8 months ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones
SIGGRAPH
2010
ACM
15 years 8 months ago
Gesture controllers
We introduce gesture controllers, a method for animating the body language of avatars engaged in live spoken conversation. A gesture controller is an optimal-policy controller tha...
Sergey Levine, Philipp Krähenbühl, Sebastian Thr...
141
Voted
CP
1997
Springer
15 years 7 months ago
Distributed Partial Constraint Satisfaction Problem
Many problems in multi-agent systems can be described as distributed Constraint Satisfaction Problems (distributed CSPs), where the goal is to nd a set of assignments to variables ...
Katsutoshi Hirayama, Makoto Yokoo