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Autonomy and Differentiation in Distributed Systems

  • Ichiro Satoh
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 446)

Abstract

A bio-inspired approach for self-adaptive software agents on distributed systems is presented. It introduces the notion of (de)differentiation in cellular slime molds, e.g., dictyostelium discoideum, into real distributed systems. When an agent delegates a function to another agent coordinating with it, if the former has the function, this function becomes less-developed and the latter’s function becomes well-developed. This paper describes the approach and its basic evaluation.

Keywords

Swarm Intelligence Request Message Dictyostelium Discoideum Replica Placement Cellular Slime Mold 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.National Institute of InformaticsTokyoJapan

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