2021
DOI: 10.1007/s10458-021-09521-x
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Modelling and verification of reconfigurable multi-agent systems

Abstract: We propose a formalism to model and reason about reconfigurable multi-agent systems. In our formalism, agents interact and communicate in different modes so that they can pursue joint tasks; agents may dynamically synchronize, exchange data, adapt their behaviour, and reconfigure their communication interfaces. Inspired by existing multi-robot systems, we represent a system as a set of agents (each with local state), executing independently and only influence each other by means of message exchange. Agents are… Show more

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Cited by 10 publications
(8 citation statements)
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“…We introduced the R-CHECK model checking toolkit for verifying and simulating reconfigurable multiagent system. We formally presented the syntax and semantics of R-CHECK language in relation to the ReCiPe framework [3,2], and we used it to model and reason about a nontrivial case study from the realm of reconfigurable and self-organising MAS. Our semantics approach consisted of two types of semantics: structural semantics in terms of automata to recover information about interaction features, and execution semantics based on ReCiPe.…”
Section: Discussionmentioning
confidence: 99%
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“…We introduced the R-CHECK model checking toolkit for verifying and simulating reconfigurable multiagent system. We formally presented the syntax and semantics of R-CHECK language in relation to the ReCiPe framework [3,2], and we used it to model and reason about a nontrivial case study from the realm of reconfigurable and self-organising MAS. Our semantics approach consisted of two types of semantics: structural semantics in terms of automata to recover information about interaction features, and execution semantics based on ReCiPe.…”
Section: Discussionmentioning
confidence: 99%
“…Future works. We plan to integrate ltol to R-CHECK from [3]. Indeed, the authors in [3] provide a pspace algorithm for ltol model checking (improved from expspace in [2]).…”
Section: Discussionmentioning
confidence: 99%
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