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» Initial Experiments of Reconfigurable Sensor Adapted by Evol...
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EAAI
2006
75views more  EAAI 2006»
14 years 9 months ago
Multi-agent framework based on smart sensors/actuators for machine tools control and monitoring
Throughout the history, the evolutions of the requirements for manufacturing equipments have depended on the changes in the customers' demands. Among the present trends in th...
Xavier Desforges, Bernard Archimède
61
Voted
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolving visually guided agents in an ambiguous virtual world
The fundamental challenge faced by any visual system within natural environments is the ambiguity caused by the fact that light that falls on the system’s sensors conflates mult...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
79
Voted
CEC
2009
IEEE
15 years 1 months ago
A model for intrinsic artificial development featuring structural feedback and emergent growth
Abstract--A model for intrinsic artificial development is introduced in this paper. The proposed model features a novel mechanism where growth emerges, rather than being triggered ...
Martin Trefzer, Tüze Kuyucu, Julian Francis M...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 3 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 2 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein