Welcome

CoSSoM'09: a workshop for ESM'2009,
October 26-28, 2009, Holiday Inn Leicester,
Leicester, United Kingdom

The aim of this workshop is to concern itself with the use of emergent computing and self-organization modelling within various applications of complex systems. We focus our attention both on the innovative concepts and implementations to model self-organizations, but also the relevant applicative domains which can use them in an efficient way.

For the first part, collective intelligence and dynamic combinatorics are conceptual tools which can be used to model self-organization processes.

For the second part, the workshop sollicites contributions on some specific applications which are environmental complex systems modeling, territorial intelligence, emotion-cognition interactions modeling.

Different sessions will be developed covering the following topics:

• Interaction networks and dynamic data structures
  We focus our attention for this session, on self-organization models based on collective intelligence concepts like artificial ant systems or immune systems. In more general way, we expect some innovative works on emergence computation from interaction networks which are nowadays powerful tools for modelling complexity. A special care will be adressed to dynamic structures which motion can follow some properties or can be in correspondance to some enumerative structures. The associated evolutionary systems which can be modelled by these structures, are often built on elementary transition rules and lead to emergent properties. The goal is to find a better understanding of evolvable complex systems by these methodologies. Applications from these models are welcome.
• Environmental complexity modeling and territorial intelligence
  Territorial management must be nowadays understood and modelled in complex way to lead to sustainable development based on environmental, economical, social and political purposes. To achieve in these goals and to be able to propose some efficient decision support systems, we have to care on the two complementary aspects:
  • Natural complex systems which are typically complex systems. Simulations are often used to describe some complex interaction networks between involved species. The detection of dynamical natural structures or organizations like food chains is one of the great challenge of the Individual Based Models (IBM). This session deals with some generic methodologies which allow to model the detected organizations inside the simulations during its run. The study of the evolution and the stabilization of such detected structures are welcome for this session. Multi-scale processes, heterogeneous modelling are some thrilling solutions for example.
  • Artificial systems which are typically territorial and urban systems. These systems are complex self-organizing systems and we focus our attention on spatial-temporal conceptual implementations. Some relevent models are nowadays based on the mixing of Geographical Information Systems (GIS) and Multi-Agent Systems (MAS). Decision Support Systems models for territorial or urban development are welcome.
• Emotion and Cognition Interaction
  Cognition is typically the result of complex processes. Many works try to give some formal description to better understanding the involved complex interactions. We suggest here, for example, and without exclusivity, some contributions on the interaction emotion-cognition-action, both on experimental or clinical approaches but also on modelling approaches. Multi-disciplinary studies are welcome like neuro sciences, behavioral approaches, psychology, neuro-psychology and artificial intelligence.
  The related problematic are
  • links between emotion and problem solving processes
  • links between emotion and decision making processes
  • computational modelling
  • emotion, affect, mood, motivation
  • appraisal and copying approaches
  • complexity concepts (self-organization, catastroph theory, dissipative structures) for emotion modeling