Modular self-organization

2006/09/26 by Bruno Scherrer, Scherrer, Bruno
Computer Science · Engineering · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics

paper · pdf · doi:10.48550/arxiv.cs/0609142

openalex publication_date 2006/09/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Hierarchical Solution of Markov Decision Processes using Macro-actions
• On the Complexity of Solving Markov Decision Problems

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• A General Methodology for Designing Self-Organizing Systems
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