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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 2 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
PADS
2006
ACM
14 years 2 months ago
Intelligent Management of Data Driven Simulations to Support Model Building
Artificial intelligence (AI) can contribute to the management of a data driven simulation system, in particular with regard to adaptive selection of data and refinement of the mo...
Catriona Kennedy, Georgios K. Theodoropoulos
DATE
2010
IEEE
159views Hardware» more  DATE 2010»
14 years 1 months ago
A rapid prototyping system for error-resilient multi-processor systems-on-chip
—Static and dynamic variations, which have negative impact on the reliability of microelectronic systems, increase with smaller CMOS technology. Thus, further downscaling is only...
Matthias May, Norbert Wehn, Abdelmajid Bouajila, J...
HRI
2007
ACM
13 years 12 months ago
Human control for cooperating robot teams
Human control of multiple robots has been characterized by the average demand of single robots on human attention or the distribution of demands from multiple robots. When robots ...
Jijun Wang, Michael Lewis
WSC
2007
13 years 10 months ago
Self organized UAV swarm planning optimization for search and destroy using SWARMFARE simulation
As military interest continues to grow for Unmanned Aerial Vehicle (UAV) capabilities, the Air Force is exploring UAV autonomous control, mission planning and optimization techniq...
Dustin J. Nowak, Ian C. Price, Gary B. Lamont