Modular self-organization for a long-living autonomous agent
Identifieur interne : 007531 ( Main/Exploration ); précédent : 007530; suivant : 007532Modular self-organization for a long-living autonomous agent
Auteurs : Bruno ScherrerSource :
English descriptors
Abstract
The aim of this paper is to provide a sound framework for addressing a difficult problem : the automatic construction of an autonomous agent's modular architecture. We combine results from two apparently uncorrelated domains : Autonomous planning through Markov Decision Processes and a General Data Clustering Approach using a kernel-like method. Our fundamental idea is that the former is a good framework for addressing autonomy whereas the latter allows to tackle self-organizing problems. Indeed, we derive a modular self-organizing algorithm in which an autonomous agent learns to efficiently spread n planning problems over m initially blank modules.
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<front><div type="abstract" xml:lang="en" wicri:score="2063">The aim of this paper is to provide a sound framework for addressing a difficult problem : the automatic construction of an autonomous agent's modular architecture. We combine results from two apparently uncorrelated domains : Autonomous planning through Markov Decision Processes and a General Data Clustering Approach using a kernel-like method. Our fundamental idea is that the former is a good framework for addressing autonomy whereas the latter allows to tackle self-organizing problems. Indeed, we derive a modular self-organizing algorithm in which an autonomous agent learns to efficiently spread n planning problems over m initially blank modules.</div>
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