eprintid: 1536
rev_number: 9
eprint_status: archive
userid: 30
dir: disk0/00/00/15/36
datestamp: 2013-03-18 07:52:16
lastmod: 2016-07-13 10:30:45
status_changed: 2013-03-18 07:52:16
type: article
metadata_visibility: no_search
creators_name: Bruni, Roberto
creators_name: Corradini, Andrea
creators_name: Gadducci, Fabio
creators_name: Lluch-Lafuente, Alberto
creators_name: Vandin, Andrea
creators_id: 
creators_id: 
creators_id: 
creators_id: alberto.lluch@imtlucca.it
creators_id: andrea.vandin@imtlucca.it
title: Modelling and analyzing adaptive self-assembling strategies with Maude
ispublished: submitted
subjects: QA75
divisions: CSA
full_text_status: public
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, validate and analyse a prominent example of adaptive system: robot swarms equipped with self-assembly strategies. The analysis exploits the statistical model checker PVeStA.
publication: Science of Computer Programming
publisher: Elsevier
refereed: FALSE
issn: 0167-6423
funders: European Integrated Project 257414 ASCENS
projects: European Integrated Project 257414 ASCENS
citation:   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)     
document_url: http://eprints.imtlucca.it/1536/1/scp2013.pdf