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ICMAS
1998
13 years 10 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»
13 years 8 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
14 years 24 days 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
13 years 8 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
14 years 2 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