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Process Algebras and Flocks of Birds

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A Journey from Process Algebra via Timed Automata to Model Learning

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13560))

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Abstract

Many natural and artificial systems studied across a variety of disciplines, from biology to social sciences, consist of relatively simple agents with a partial knowledge of the system as a whole, where complex collective dynamics that are difficult to anticipate emerge from local interaction. We argue how formal methods broadly understood can be of assistance in such studies with a systematic approach to specification and analysis. To convey our argument, we elaborate a proof of concept inspired from an instance of emergent behaviour commonly observed in flocks of birds.

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Notes

  1. 1.

    The tool is available at https://github.com/labs-lang/sliver.

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Author information

Authors and Affiliations

  1. IMT School of Advanced Studies, Lucca, Italy

    Rocco De Nicola & Serenella Valiani

  2. Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, Grenoble, France

    Luca Di Stefano

  3. Gran Sasso Science Institute (GSSI), L’Aquila, Italy

    Omar Inverso

Authors
  1. Rocco De Nicola
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  2. Luca Di Stefano
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  3. Omar Inverso
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  4. Serenella Valiani
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Corresponding author

Correspondence to Serenella Valiani .

Editor information

Editors and Affiliations

  1. Radboud University Nijmegen, Nijmegen, The Netherlands

    Nils Jansen

  2. University of Twente, Enschede, The Netherlands

    Mariëlle Stoelinga

  3. University of Twente, Enschede, The Netherlands

    Petra van den Bos

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De Nicola, R., Di Stefano, L., Inverso, O., Valiani, S. (2022). Process Algebras and Flocks of Birds. In: Jansen, N., Stoelinga, M., van den Bos, P. (eds) A Journey from Process Algebra via Timed Automata to Model Learning . Lecture Notes in Computer Science, vol 13560. Springer, Cham. https://doi.org/10.1007/978-3-031-15629-8_27

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  • DOI: https://doi.org/10.1007/978-3-031-15629-8_27

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