2014
DOI: 10.1007/978-3-319-14484-9_3
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A Stepwise Refinement Based Development of Self-Organizing Multi-Agent Systems: Application to the Foraging Ants

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Cited by 9 publications
(4 citation statements)
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“…Its refinement strategy starts by specifying the global MAS goal, defines the set of agents to carry out this goal, identifies agents' failures and introduces communication model and errors recovery mechanisms. • Alike, by means of Event B specification language, authors in (Graja et al, 2013) have proposed a formal approach for self-organizing MAS where two abstraction levels are considered:…”
Section: Literature Reviewmentioning
confidence: 99%
“…Its refinement strategy starts by specifying the global MAS goal, defines the set of agents to carry out this goal, identifies agents' failures and introduces communication model and errors recovery mechanisms. • Alike, by means of Event B specification language, authors in (Graja et al, 2013) have proposed a formal approach for self-organizing MAS where two abstraction levels are considered:…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the same context of Event B specification language, authors in (Graja et al, 2013) propose a formal approach for self-organizing MAS where two abstraction levels are considered: micro level which corresponds to agent local behavior and macro level which corresponds to the global behavior of MAS. The refinement strategy starts at first side, by building the local behavior of agents, and then it is extended to the global properties.…”
Section: Definition13 (Flts Strong Bisimulationmentioning
confidence: 99%
“…In the same context of Event B specification language, authors in [8] propose a formal approach for self-organizing MAS. [9] Addresses a top-down approach for MAS protocol description using Finite State Automata (FSA) and multi-Role Interaction (mRI) abstraction. We don't forget the work [11] in which MAS are specified by AgLOTOS.…”
Section: Introductionmentioning
confidence: 99%