Bruni, Roberto and Corradini, Andrea and Gadducci, Fabio and Lluch-Lafuente, Alberto and Vandin, Andrea
Modelling and analyzing adaptive self-assembling strategies with Maude.
In:
Rewriting Logic and Its Applications.
Lecture Notes in Computer Science
(7571).
Springer, pp. 118-138.
ISBN 978-3-642-34004-8
(2012)
Abstract
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.
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