Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2009-03-03
Nonlinear Sciences
Adaptation and Self-Organizing Systems
18 pages
Scientific paper
Models and simulations of collective behaviours are often based on considering them as assumed by interactive particle systems. The focus is then on behavioural and interaction rules by using approaches based on artificial agents designed to reproduce swarm-like behaviours in a virtual world by using symbolic, sub-symbolic and agent-based models. A new research approach has been introduced based on meta-structures, i.e. variable structures of mesoscopic variables possibly suitable for a general theory of emergence. In this approach I consider the coherence of collective behaviours, i.e., their identity detected by the observer, as represented by meta-structures. Meta-structures are properties of meta-elements, i.e., sets of values adopted by mesoscopic state variables describing collective, structural aspects of the collective phenomenon under study and related to a higher level of description (meta-description) suitable for dealing with coherence. Mesoscopic state variables are abductively identified by the observer detecting emergent properties, such as sets of suitably clustered distances, speed, directions, their ratios and ergodic properties of sets. Simulation software is under implementation. We present four research projects based on such an approach able to give the reader the perspective applications.
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