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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Modelling and Analyzing Adaptive Self-assembly Strategies with Maude
verfasst von : Roberto Bruni, Andrea Corradini, Fabio Gadducci, Alberto Lluch Lafuente, Andrea Vandin
Erschienen in: Rewriting Logic and Its Applications
Verlag: Springer Berlin Heidelberg
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Building adaptive systems with predictable emergent behavior is a challenging task and it is becoming a critical need. The research community has accepted the challenge by introducing approaches of various nature: from software architectures, to programming paradigms, to analysis techniques. We recently proposed a conceptual framework for adaptation centered around the role of control data. In this paper we show that it can be naturally realized in a reflective logical language like Maude by using the Reflective Russian Dolls model. Moreover, we exploit this model to specify and analyse a prominent example of adaptive system: robot swarms equipped with obstacle-avoidance self-assembly strategies. The analysis exploits the statistical model checker PVesta.