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ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
14 years 2 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa
ATAL
2005
Springer
14 years 25 days ago
MAGENTA technology: multi-agent systems for industrial logistics
We introduce MAGENTA’s commercial multi-agent systems technology, and illustrate its practical use by describing a field-tested application in the area of logistics/scheduling....
Jonathan Himoff, Petr Skobelev, Michael Wooldridge
ECMDAFA
2006
Springer
228views Hardware» more  ECMDAFA 2006»
13 years 11 months ago
Model Driven Development of Multi-Agent Systems
Abstract. Design patterns are templates of general solutions to commonlyoccurring problems in the analysis and design of software systems. In mature development processes, engineer...
Juan Pavón, Jorge J. Gómez-Sanz, Rub...
ATAL
2009
Springer
14 years 13 hour ago
GDT4MAS: an extension of the GDT model to specify and to verify MultiAgent systems
The Goal Decomposition Tree model has been introduced in 2005 by Mermet et al. [9] to specify and verify the behaviour of an agent evolving in a dynamic environment. This model pr...
Bruno Mermet, Gaële Simon
CISIS
2010
IEEE
13 years 11 months ago
A Pattern-Based Coordination and Test Framework for Multi-Agent Simulation of Production Automation Systems
— Production automation systems consist of many entities (like robots and shuttles) that interact in complex ways to provide the overall system functionality like product assembl...
Thomas Moser, Munir Merdan, Stefan Biffl