relation: http://eprints.imtlucca.it/1536/
title: Modelling and analyzing adaptive self-assembling strategies with Maude
creator: Bruni, Roberto
creator: Corradini, Andrea
creator: Gadducci, Fabio
creator: Lluch-Lafuente, Alberto
creator: Vandin, Andrea
subject: QA75 Electronic computers. Computer science
description: 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.
publisher: Elsevier
type: Article
type: NonPeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/1536/1/scp2013.pdf
identifier:   Bruni, Roberto and Corradini, Andrea and Gadducci, Fabio and Lluch-Lafuente, Alberto and Vandin, Andrea  Modelling and analyzing adaptive self-assembling strategies with Maude.  Science of Computer Programming.   ISSN 0167-6423    (Submitted)