1st Workshop on Fundamentals of Collective Adaptive Systems @ ECAL 2013

This workshop took place on Monday, 2nd September 2013 at ECAL 2013, Taormina, Sicily, Italy.

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Best Paper Award

The detection of intermediate-level emergent structures and patterns

Marco Villani, Alessandro Filisetti, Stefano Benedettini, Andrea Roli, David Avra Lane and Roberto Serra

ECAL Best Paper Award

Presentations

1. A Unified Framework for Collective Systems (PDF)

Emma Hart: Edinburgh Napier University, Jeremy Pitt: Imperial College London
Ulle Endriss: University of Amsterdam

2. Can Adaptability be measured? Yes, it’s entropy! (PDF)

Rupert Reiger: EADS

3. Human‐machine Coexistence in Groups (PDF)

George Kampis & Stuart Anderson: Edinburgh University, Paul Lukowicz: DFK

4. Towards Hybrid and Diversity‐Aware Collective Adaptive Systems (PDF)

Fausto Giunchiglia & Vincenzo Maltese: University of Trento
Stuart Anderson: Edinburgh University, Daniele Miorandi: U‐Hopper

5. Clonal Plasticity & Operator Placement (PDF)

Vivek Nallur, Hui Song, Siobhán Clarke: Trinity College Dublin

6. The Socio-psychological Ergonomy of the Collective Awareness Platforms (PDF)

A. Guazzini & F. Bagnoli: University of Florence

7. A participative method for crowdsourcing and extracting collective intelligence (PDF)

Franco Bagnoli & Giovanna Pacini: University of Florence

8. Morphogenetic Multi-Robot Pattern Formation Using Hierarchical Gene Regulatory Networks (PDF)

Yaochu Jin and Hyondong Oh: University of Surrey


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Abstract

Collective Adaptive Systems (CAS) is a broad term that describes large scale system 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. CAS 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.

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 conceptual 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, analyse such systems.

We expect that such a research effort will require significant inter-disciplinary working, and that ideas will come from communities such as ALife, Biology, Games Theory, Evolutionary Computing, Network Science, etc.

Suggested Topics (but not limited to):

  • Novel theories relating to operating principles of CAS
  • Novel design principles for building CAS systems
  • Insights into the Evolutionary Properties
  • Insights into Emergent Properties
  • Insights into general properties of large scale, distributed CAS
  • Methodologies for studying, analysing and building CAS
  • Frameworks for analysing or developing CAS
  • Case-studies/Scenarios that can be used to investigate CAS properties