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» Evolution and learning in multiagent systems
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GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
13 years 11 months ago
The effect of learning on life history evolution
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
John A. Bullinaria
ATAL
2009
Springer
13 years 3 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
ATAL
2010
Springer
13 years 6 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
ATAL
2007
Springer
13 years 11 months ago
Cooperative evolution of service ontologies
Most of the proposed approaches in automatic service selection assume the existence of a common ontology among communicating agents. However, this assumption becomes difficult to...
Murat Sensoy, Pinar Yolum
FLAIRS
2003
13 years 6 months ago
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
Artur S. d'Avila Garcez, Luís C. Lamb, Krys...