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Composability: Perspectives in Ecological Modeling

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Algebraic and Numeric Biology

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6479))

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Abstract

The multiplicity of ecological interactions acting in parallel calls for novel computational approaches in modeling ecosystem dynamics. Composability, a key property of process algebra-based models can help to manage complexity and offer scalable solutions in ecological modeling. We discuss and illustrate how composability of process algebra language constructs can be used as a language aid in the construction of complicated ecosystem models.

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Author information

Authors and Affiliations

  1. Centre for Computational and Systems Biology, The Microsoft Research – University of Trento, Italy

    Ozan Kahramanoğulları, Ferenc Jordán & Corrado Priami

  2. Department of Information Engineering and Computer Science, University of Trento, Italy

    Corrado Priami

Authors
  1. Ozan Kahramanoğulları
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  2. Ferenc Jordán
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  3. Corrado Priami
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Editor information

Editors and Affiliations

  1. Computational Biology Research Centre (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), 135-0064, Tokyo, Japan

    Katsuhisa Horimoto

  2. Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology, 135-0064, Tokyo, Japan

    Masahiko Nakatsui

  3. Research Institute for Symbolic Computation(RISC), Johannes Kepler University of Linz, 4040, Linz, Austria

    Nikolaj Popov

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Kahramanoğulları, O., Jordán, F., Priami, C. (2012). Composability: Perspectives in Ecological Modeling. In: Horimoto, K., Nakatsui, M., Popov, N. (eds) Algebraic and Numeric Biology. Lecture Notes in Computer Science, vol 6479. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28067-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-28067-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28066-5

  • Online ISBN: 978-3-642-28067-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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