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AAMAS
2006
Springer
15 years 2 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...
106
Voted
WSC
2007
15 years 4 months ago
Application of BML to inter-agent communication in the ITSimBw simulation environment
In this contribution we analyze communication requirements of multi-agent simulation systems using ITSimBw – developed at Fraunhofer IAIS – as an example. A focus is put on is...
Philipp Hügelmeyer, Ulrich Schade, Thomas Z&o...
EUMAS
2006
15 years 3 months ago
DimaX: A Fault-Tolerant Multi-Agent Platform
Fault tolerance is an important property of large-scale multiagent systems as the failure rate grows with both the number of the hosts and deployed agents, and the duration of com...
Nora Faci, Zahia Guessoum, Olivier Marin
MA
1999
Springer
155views Communications» more  MA 1999»
15 years 6 months ago
JGram: Rapid Development of Multi-Agent Pipelines for Real-World Tasks
Many real-world tasks can be decomposed into pipelines of sequential operations (where subtasks may themselves be composed of one or more pipelines). JGram is a framework enabling...
Rahul Sukthankar, Antoine Brusseau, Ray Pelletier,...
INCDM
2010
Springer
251views Data Mining» more  INCDM 2010»
15 years 6 months ago
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
Abstract. A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamenta...
Santhana Chaimontree, Katie Atkinson, Frans Coenen