Date: September 12th, 2016
Location: Co-located with the 10th IEEE international conference on Self-Adaptive Self-Organizing Conference
SASO 2016, University of Augsburg, Augsburg, Germany
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.We welcome inter-disciplinary approaches.Suggested Topics (but not limited to):
- 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
The length of a workshop paper may not exceed 6 pages including references and follow the IEEE Computer Society Press proceedings style guide.All papers should be submitted in PDF format using this Easychair
login page.By submitting a paper, the authors confirm that in case of acceptance, at least one author will attend the workshop to present the work.Papers will be peer reviewed on the basis of originality, readability, relevance to themes, soundness, and overall quality. Workshop proceedings will be published on IEEE Xplore in parallel with the main conference proceedings.
- Submission Deadline (strict): July 4, 2016
- Notification of Acceptance: July 15, 2016
- Camera-Ready Version: July 22, 2016
All attendees at the workshop must register for SASO through the conference website:
https://saso2016.informatik.uni-augsburg.de/
