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ECML
2004
Springer
14 years 28 days ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls
IJON
2007
114views more  IJON 2007»
13 years 7 months ago
A cell assembly model for complex behaviour
Hebbian cell assemblies have been proposed as a model for cortical processing able to bridge between physiology and psychology. Assembly-based theories focused mainly on represent...
Thomas Wennekers
DIS
1999
Springer
13 years 12 months ago
The Melting Pot of Automated Discovery: Principles for a New Science
After two decades of research on automated discovery, many principles are shaping up as a foundation of discovery science. In this paper we view discovery science as automation of ...
Jan M. Zytkow
GECCO
2004
Springer
111views Optimization» more  GECCO 2004»
14 years 28 days ago
Cooperative Problem Solving Using an Agent-Based Market
A key problem in multi-agent systems research is identifying appropriate techniques to facilitate effective cooperation between agents. In this paper, we investigate the efficacy o...
David Cornforth, Michael Kirley
UML
2005
Springer
14 years 1 months ago
Enhancement of Development Technologies for Agent-Based Software Engineering
Abstract. Current trends in software development show a move towards supporting autonomous components (agents). The accurate timing of interactions between such components is growi...
Andre Karpistsenko