Logics for Actor Networks: A two-stage constrained-hybridisation approach

Jose Luiz Fiadeiro, Ionut Tutu, Antónia Lopes, Dusko Pavlovic

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Abstract

Actor Networks are a modelling framework for cyber-physical-system protocols based on Latour’s actor-network theory that addresses the way we now create and exploit the power of networks whose components are no longer limited to programs, but can also include humans and physical artefacts as actors. The main contribution of this paper is a logic for modelling and reasoning about such actor networks that results from a two-stage constrained-hybridisation process: the first stage corresponds to a logic that captures the structure of actor networks and the way knowledge or data flows across them; the second addresses their dynamic aspects, i.e., the way actor networks can evolve as a result of the interactions that occur within them. For each of these stages, we develop a sound and complete proof system, and we illustrate how the framework can be used for modelling and analysing properties of cyber-physical-system protocols. This two-stage constrained-hybridisation process advances the theoretical and practical aspects of hybrid logics by providing new insights and results that go beyond the specific domain of actor networks. On the other hand, and in line with Milner’s bigraph paradigm, the paper also makes a novel contribution to the development of formal methods for systems where connectivity and locality play a fundamental role.
Original languageEnglish
Pages (from-to)141-166
Number of pages26
JournalJournal of Logical and Algebraic Methods in Programming
Volume106
Early online date9 May 2019
DOIs
Publication statusPublished - Aug 2019
  • Logics for Actor Networks: A Case Study in Constrained Hybridization

    Lopes Fiadeiro, J., Tutu, I., Lopes, A. & Pavlovic, D., 3 Jan 2018, (E-pub ahead of print) Dynamic Logic. New Trends and Applications: First International Workshop, DALI 2017, Brasilia, Brazil, September 23-24, 2017, Proceedings. Springer, p. 98-114 17 p. (Lecture Notes in Computer Science; vol. 10669).

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