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» Methods for Artificial Evolution of Truly Cooperative Robots
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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 4 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
CONNECTION
2004
117views more  CONNECTION 2004»
14 years 9 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...
EUSAI
2003
Springer
15 years 3 months ago
Lino, the User-Interface Robot
Abstract. This paper reports on the development of a domestic userinterface robot that is able to have natural human interaction by speech and emotional feedback. Natural interacti...
Ben J. A. Kröse, Josep M. Porta, Albert J. N....
ECAL
1999
Springer
15 years 2 months ago
Evolution of Neural Controllers with Adaptive Synapses and Compact Genetic Encoding
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
Dario Floreano, Joseba Urzelai
ATAL
2008
Springer
14 years 11 months ago
Tags and image scoring for robust cooperation
Establishing and maintaining cooperation is an enduring problem in multi-agent systems and, although several solutions exist, the increased use of online trading systems, peerto-p...
Nathan Griffiths