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» Measuring the Dynamics of Artificial Evolution
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CEC
2007
IEEE
14 years 1 months ago
Emergent specialization in the extended multi-rover problem
Abstract— This paper introduces the Collective Neuro Evolution (CONE) method, and compares its efficacy for designing specialization, with a conventional Neuro-Evolution (NE) me...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
ECAL
1999
Springer
13 years 11 months ago
A Generic Neutral Model for Quantitative Comparison of Genotypic Evolutionary Activity
We use a new general-purpose model of neutral evolution of genotypes to make quantitative comparisons of diversity and adaptive evolutionary activity as a function of mutation rate...
Andreas Rechtsteiner, Mark A. Bedau
AI
1999
Springer
13 years 7 months ago
Emergent Cooperative Goal-Satisfaction in Large Scale Automated-Agent Systems
Cooperation among autonomous agents has been discussed in the DAI community for several years. Papers about cooperation 6,45 , negotiation 33 , distributed planning 5 , and coalit...
Onn Shehory, Sarit Kraus, Osher Yadgar
CONNECTION
2004
117views more  CONNECTION 2004»
13 years 7 months ago
Structure and function of evolved neuro-controllers for autonomous robots
The Artificial Life approach to Evolutionary Robotics is used as a fundamental framework for the development of a modular neural control of autonomous mobile robots. The applied e...
Martin Hülse, Steffen Wischmann, Frank Pasema...
ATAL
2010
Springer
13 years 8 months ago
Self-organization for coordinating decentralized reinforcement learning
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah