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ECML
2004
Springer
15 years 3 months 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
66
Voted
IJON
2007
114views more  IJON 2007»
14 years 9 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
15 years 1 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»
15 years 3 months 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
15 years 3 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