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EVI
2010
94views more  EVI 2010»
13 years 2 months ago
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task
This article presents results from an evaluation of the collective neuro-evolution (CONE) controller design method. CONE solves collective behavior tasks, and increases task perfor...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 9 months ago
Emergent architecture in self organized swarm systems for military applications
Many sectors of the military are interested in Self-Organized (SO) systems because of their flexibility, versatility and economics. The military is researching and employing auto...
Dustin J. Nowak, Gary B. Lamont, Gilbert L. Peters...
JIRS
2000
144views more  JIRS 2000»
13 years 7 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
JFR
2007
150views more  JFR 2007»
13 years 7 months ago
Decisional autonomy of planetary rovers
To achieve the ever increasing demand for science return, planetary exploration rovers require more autonomy to successfully perform their missions. Indeed, the communication dela...
Félix Ingrand, Simon Lacroix, Solange Lemai...
JAIR
2008
113views more  JAIR 2008»
13 years 8 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen