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» Adversarial Behavior in Multi-agent Systems
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ECML
2004
Springer
14 years 1 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
ATAL
2008
Springer
13 years 10 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
ATAL
2008
Springer
13 years 10 months ago
A scalable and distributed model for self-organization and self-healing
As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these agents in such a way that the sum of their...
Michael Rubenstein, Wei-Min Shen
EUMAS
2006
13 years 10 months ago
Agent Capability: Automating the Design to Code Process
Current IT application domains such as web services and autonomic computing call for highly flexible systems, able to automatically adapt to changing operational environments as w...
Loris Penserini, Anna Perini, Angelo Susi, John My...
ICDCSW
2008
IEEE
14 years 2 months ago
On the Modeling of Honest Players in Reputation Systems
Reputation mechanisms are a key technique to trust assessment in large-scale decentralized systems. The effectiveness of reputation-based trust management fundamentally relies on ...
Qing Zhang, Ting Yu