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Modular self-organization for a long-living autonomous agent

Bruno Scherrer 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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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Submitted on : Thursday, October 19, 2006 - 9:07:59 AM
Last modification on : Friday, February 4, 2022 - 3:22:13 AM
Long-term archiving on: : Friday, November 25, 2016 - 12:39:53 PM


  • HAL Id : inria-00107753, version 1



Bruno Scherrer. Modular self-organization for a long-living autonomous agent. [Intern report] A03-R-053 || scherrer03b, 2003, 7 p. ⟨inria-00107753⟩



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