%0 Journal Article
%@ 0167-6423
%A Bruni, Roberto
%A Corradini, Andrea
%A Gadducci, Fabio
%A Lluch-Lafuente, Alberto
%A Vandin, Andrea
%F eprints:1536
%I Elsevier
%J Science of Computer Programming
%T Modelling and analyzing adaptive self-assembling strategies with Maude
%U http://eprints.imtlucca.it/1536/
%X 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, validate and analyse a prominent example of adaptive system: robot swarms equipped with self-assembly strategies. The analysis exploits the statistical model checker PVeStA.