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eCAS 2016
1st eCAS Workshop on Engineering Collective Adaptive Systems
Augsburg, Germany, 12/09/2016
Collective Adaptive Systems (CAS) is a broad term that describes large scale systems that comprise of many units/nodes, each of which may have their own individual properties, objectives and actions. Decision-making in such a system is distributed and possibly highly dispersed, and interaction between the units may lead to the emergence of unexpected phenomena. CASs are open, in that nodes may enter or leave the collective at any time, and boundaries between CASs are fluid. The units can be highly heterogeneous (computers, robots, agents, devices, biological entities, etc.), each operating at different temporal and spatial scales, and having different (potentially conflicting) objectives and goals, even if often the system has a global goal that is pursued by means of collective actions. Our society increasingly depends on such systems, in which collections of heterogeneous 'technological' nodes are tightly entangled with human and social structures to form 'artificial societies'. Yet, to properly exploit them, we need to develop a deeper scientific understanding of the principles by which they operate, in order to better design them. This workshop solicits papers that address new methodologies, theories and principles that can be used in order to develop a better understanding of the fundamental factors underpinning the operation of such systems, so that we can better design, build, and analyse such systems.
topics of interest
Novel theories relating to operating principles of CAS
Novel design principles for building CAS systems
Insights into the short and long term adaptation of CAS systems
Insights into Emergent Properties of CAS
Insights into general properties of large scale, distributed CAS
Methodologies for studying, analysing and building CAS
Frameworks for analysing or developing CAS Case studies
Languages, platforms, APIs and other tools for CAS
Scenarios, case studies and experience reports of CAS
Jacob Beal • Giacomo Cabri • Nicola Capodieci • Emma Hart • Jane Hillston • Mirko Viroli
— pc member
Gerrit Anders • Franco Bagnoli • Ezio Bartocci • Luca Bortolussi • Johann Bourcier • Sven Brueckner • Antonio Bucchiarone • Giacomo Cabri • Siobhan Clarke • Daniel Coore • Ferruccio Damiani • Rocco De Nicola • Giovanna Di Marzo Serugendo • Ada Diaconescu • Simon Dobson • Matt Duckham • Stefan Dulman • Schahram Dustdar • Jane Hillston • eva Kühn • Peter Lewis • Nicolas Markey • Mieke Massink • Mirco Musolesi • Carlo Pinciroli • Alexander Schiendorfer • Antoine Spicher • Katia Sycara • Christof Teuscher • Mirko Viroli • Martin Wirsin
Combining Self-Organisation and Autonomic Computing in CASs with Aggregate-MAPE (paper in proceedings, 2016) — Mirko Viroli, Antonio Bucchiarone, Danilo Pianini, Jacob Beal