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A Net-Based Formal Framework for Causal Loop Diagrams

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Complex Systems Design & Management Asia (CSD&M 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 878))

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Abstract

Causal Loop Diagrams (CLDs) are a modeling tool employed in Business Dynamics. Such a diagram consists of many tightly coupled loops to capture dynamic behavior of systems. Intuitive operational semantics, describing how changes are propagated among the loops, provide a basis for model animation or manual inspection. They are, however, not precise enough to enable automated property checking. This paper proposes and defines a net-based formal framework, showing true concurrency, so that automated analysis is made possible.

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Notes

  1. 1.

    \({\mathscr {N}}\) is a set of Natural Number and \({\mathscr {N}}_{0}\) includes 0.

  2. 2.

    This is an infinite capacity net, in which each place can hold any number of tokens.

  3. 3.

    This makes it difficult to define matrix-equations for CLN.

  4. 4.

    http://viz-js.com.

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Acknowledgements

The first author conducted the reported work at NII under NII-Internship Program 2017-1 call. This work is a result of project SmartEGOV/NORTE-01-0145-FEDER-000037, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (EFDR). Additional support is provided by the PT-FLAD Chair on Smart Cities & Smart Governance. The second author is partially supported by JSPS KAKENHI Grant Number JP17H01726.

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Correspondence to Shin Nakajima .

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Cledou, G., Nakajima, S. (2019). A Net-Based Formal Framework for Causal Loop Diagrams. In: Cardin, M., Hastings, D., Jackson, P., Krob, D., Lui, P., Schmitt, G. (eds) Complex Systems Design & Management Asia. CSD&M 2018. Advances in Intelligent Systems and Computing, vol 878. Springer, Cham. https://doi.org/10.1007/978-3-030-02886-2_1

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  • DOI: https://doi.org/10.1007/978-3-030-02886-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02885-5

  • Online ISBN: 978-3-030-02886-2

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