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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 8 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
MMAS
2004
Springer
14 years 1 months ago
Challenges in Building Very Large Teams
Abstract. When agents coordinate according to the principles of teamwork they can flexibly, robustly and reliably achieve complex goals in complex, dynamic and even hostile enviro...
Paul Scerri, Katia Sycara-Cyranski
AMEC
2004
Springer
14 years 1 months ago
A Budget-Balanced, Incentive-Compatible Scheme for Social Choice
Abstract. Many practical scenarios involve solving a social choice problem: a group of self-interested agents have to agree on an outcome that best fits their combined preferences...
Boi Faltings
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
14 years 1 months ago
Using Reinforcement Learning to Improve Exploration Trajectories for Error Minimization
Abstract— The mapping and localization problems have received considerable attention in robotics recently. The exploration problem that drives mapping has started to generate sim...
Thomas Kollar, Nicholas Roy
AAMAS
2004
Springer
13 years 7 months ago
The dMARS Architecture: A Specification of the Distributed Multi-Agent Reasoning System
The Procedural Reasoning System (PRS) is the best established agent architecture currently available. It has been deployed in many major industrial applications, ranging from fault...
Mark d'Inverno, Michael Luck, Michael P. Georgeff,...