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Structuring the Model of Complex System Using Parallel Computing Techniques

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Book cover Computer Aided Systems Theory – EUROCAST 2015 (EUROCAST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9520))

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Abstract

The contribution of this paper is to present a results of applications of set theory and relations in modeling a complex distributed systems, based on parallel computing platform. The advantages of using the set theory are: the possibility of a formal examination of the local problems, and the possibility to organize individuals as elements of the considered classes, defined globally. To govern the collective behavior we propose three key relations and mappings determined taxonomic order on them. That can insulate us from reductionism and single-cause thinking, as people deal with complexity before. On three examples, we show how take advantage of the new parallel programming tools to obtain more effective multiple inputs in parallel way, than assigning sequentially single causes for any outputs.

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Authors and Affiliations

  1. Department of Computer Engineering, Wrocław University of Technology, Wrocław, Poland

    Jan Nikodem

Authors
  1. Jan Nikodem
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Correspondence to Jan Nikodem .

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Editors and Affiliations

  1. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Nikodem, J. (2015). Structuring the Model of Complex System Using Parallel Computing Techniques. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_16

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  • DOI: https://doi.org/10.1007/978-3-319-27340-2_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27339-6

  • Online ISBN: 978-3-319-27340-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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