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AAAI
2010
13 years 8 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
DEXAW
2005
IEEE
199views Database» more  DEXAW 2005»
14 years 1 months ago
Combining Multi-Agent-System Methodologies for Organic Computing Systems
As the complexity of computing systems steadily increases, self-managing systems – as Autonomic Computing Systems (ACS) proposed by IBM – are an adequate approach to minimize ...
Holger Kasinger, Bernhard Bauer
WOA
2001
13 years 8 months ago
Multi-Agent Systems as Composition of Observable Systems
Observation is becoming a crucial issue in the engineering of today's systems: the common practice for dealing with their complexity is to encapsulate their subcomponents abs...
Mirko Viroli, Andrea Omicini
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 4 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...