relation: http://eprints.imtlucca.it/3061/
title: Modelling and analyzing adaptive self-assembly strategies with Maude
creator: Bruni, Roberto
creator: Corradini, Andrea
creator: Gadducci, Fabio
creator: Lafuente, Alberto Lluch
creator: Vandin, Andrea
subject: QA75 Electronic computers. Computer science
subject: T Technology (General)
description: Building adaptive systems with predictable emergent behavior is a difficult 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 and analysis techniques. Our white-box conceptual approach to adaptive systems based on the notion of control data promotes a clear distinction between the application and the adaptation logic. In this paper we propose a concrete instance of our approach based on (i) a neat identification of control data; (ii) a hierarchical architecture that provides the basic structure to separate the adaptation and application logics; (iii) computational reflection as the main mechanism to realize the adaptation logic; (iv) probabilistic rule-based specifications and quantitative verification techniques to specify and analyze the adaptation logic. We show that our solution can be naturally realized in Maude, a Rewriting Logic based framework, and illustrate our approach by specifying, validating and analyzing a prominent example of adaptive systems: robot swarms equipped with self-assembly strategies.
publisher: Elsevier
date: 2015
type: Article
type: PeerReviewed
identifier:   Bruni, Roberto and Corradini, Andrea and Gadducci, Fabio and Lafuente, Alberto Lluch and Vandin, Andrea  Modelling and analyzing adaptive self-assembly strategies with Maude.  Science of Computer Programming, 99.  75 - 94.  ISSN 0167-6423      (2015)  
relation: http://www.sciencedirect.com/science/article/pii/S0167642313003389
relation: 10.1016/j.scico.2013.11.043