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Holonic Rationale and Bio-inspiration on Design of Complex Emergent and Evolvable Systems

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Transactions on Large-Scale Data- and Knowledge-Centered Systems I

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 5740))

Abstract

Traditional centralized and rigid control structures are becoming inflexible to face the requirements of reconfigurability, responsiveness and robustness, imposed by customer demands in the current global economy. The Holonic Manufacturing Systems (HMS) paradigm, which was pointed out as a suitable solution to face these requirements, translates the concepts inherited from social organizations and biology to the manufacturing world. It offers an alternative way of designing adaptive systems where the traditional centralized control is replaced by decentralization over distributed and autonomous entities organized in hierarchical structures formed by intermediate stable forms. In spite of its enormous potential, methods regarding the self-adaptation and self-organization of complex systems are still missing. This paper discusses how the insights from biology in connection with new fields of computer science can be useful to enhance the holonic design aiming to achieve more self-adaptive and evolvable systems. Special attention is devoted to the discussion of emergent behavior and self-organization concepts, and the way they can be combined with the holonic rationale.

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Authors and Affiliations

  1. Polytechnic Institute of Bragança, Campus Sta Apolonia, Apartado 1134, 5301-857, Bragança, Portugal

    Paulo Leitao

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  1. Paulo Leitao
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Editors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, 118, route de Narbonne, 31062, Toulouse CEDEX Cedex, France

    Abdelkader Hameurlain

  2. University of Linz, Altenbergerstraße 69, 4040, Linz, Austria

    Josef Küng  & Roland Wagner  & 

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Leitao, P. (2009). Holonic Rationale and Bio-inspiration on Design of Complex Emergent and Evolvable Systems. In: Hameurlain, A., Küng, J., Wagner, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems I. Lecture Notes in Computer Science, vol 5740. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03722-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-03722-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03721-4

  • Online ISBN: 978-3-642-03722-1

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