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ICMAS
1998
15 years 1 months ago
The Moving Target Function Problem in Multi-Agent Learning
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
José M. Vidal, Edmund H. Durfee
JNW
2008
164views more  JNW 2008»
14 years 11 months ago
Improving Multi-Agent Based Resource Coordination in Peer-to-Peer Networks
The distributed nature of peer-to-peer networks offers a solid ground for the deployment of environments where multiple agents, managing several resources, can cooperate in pursuin...
António Luis Lopes, Luís Miguel Bote...
ECAI
1994
Springer
15 years 3 months ago
The DUAL Cognitive Architecture: A Hybrid Multi-Agent Approach
1 A hybrid (symbolic/connectionist) cognitive architecture, DUAL, is proposed. It is a multi-agent system which consist of a large number of non-cognitive, relatively simple agents...
Boicho N. Kokinov
AAMAS
2006
Springer
14 years 12 months ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
KES
2007
Springer
15 years 6 months ago
Calculating Optimal Decision Using Meta-level Agents for Multi-Agents in Networks
In spatial graphs with a vast number of nodes, it is difficult to compute a solution to graph optimisation problems. We propose an approach using meta-level agents for multi-agents...
Anne Håkansson, Ronald L. Hartung