Duration: Half day
Short Description: Originating from closed parallel systems, coordination models and technologies gained in expressive power so as to deal with complex distributed systems. In particular, nature-inspired models of coordination emerged in the last decade as the most effective approaches to tackle the complexity of pervasive, intelligent, and self-* systems.
In the first part of the tutorial we introduce the basic notions of coordination and coordination model, and relate them to the notions of interaction and complexity. Then, the most relevant nature-inspired coordination (NIC) models are discussed, along with their relationship with the many facets of tuple-based models. In the third part we discuss the main open issues and explore the trends for future development of NIC. Finally, as a case study, we focus on MoK (Molecules of Knowledge), a NIC model for knowledge self-organisation, where data and information autonomously aggregate and spread toward knowledge prosumers.
Andrea Omicini is Full Professor at DISI, the Department of Computer Science and Engineering of the University of Bologna, Italy. He holds a PhD in Computer & Electronic Engineering, and his main research interests include multi-agent systems, software engineering, intelligent systems, multi-paradigm languages, autonomous systems, simulation, and self-organisation. On those subjects he published over 300 articles, edited a number of international books, guest-edited several special issues of international journals, and held many invited talks and tutorials at international conferences and schools.
Stefano Mariani is Assistant Professor at the University of Modena and Reggio Emilia. He holds a PhD in Computer Science, and his research interests include coordination models and languages, agent-oriented technologies, pervasive computing, self-organisation mechanisms, socio-technical systems. On those subjects he co-authored over 30 articles published in international journals and conferences.