Title of Dissertation: Organizational Learning and Network Adaptation in Multi-Agent Systems Matthew E. Gaston, Doctor of Philosophy, 2005 Dissertation directed by: Dr. Marie desJardins Assistant Professor Department of Computer Science and Electrical Engineering In both real and artificial societies, successful organizations are highly dependent upon a structure that fosters effective and effi...

In this paper, we study swarm intelligence phenomena using the logistic multi-agent system model (LMAS). This model derives from the “coupled map lattice” family of models, which is usually considered in the field of complex systems. After recalling the fact that the LMAS enables simulating flocking phenomena in a self-organized way, we study its adaptive capabilities by applying it to a predat...

This thesis presents the theoretical, conceptual and methodological aspects that support the modeling of dynamical systems (DS) by using several agents. The modeling approach permits the assessment of properties representing order, change, equilibrium, adaptability, and autonomy, in DS. The modeling processes were supported by a conceptual corpus regarding systems dynamics, multi-agent systems,...

This paper summarises the Agent Contest 2007 which was organized in association with ProMAS’07. The aim of this contest is to stimulate research in the area of multi-agent systems by identifying key problems and collecting suitable benchmarks that can serve as milestones for evaluating new tools, models, and techniques to develop multi-agent systems. The first two editions of this contest were ...

Ad hoc networks can be formed from arbitrary collections of sensors, mobile routers, or business processes. These networks are open systems, in the sense that the network nodes share a common language but do not necessarily share a common goal or common knowledge, and there is no centralised controller or global data repository. Such systems have numerous advantages in terms of enabling autonom...

This paper asks a new question: how can we control the collective behavior of self-organized multiagent systems? We try to answer the question by proposing a new notion called ‘Soft Control’, which keeps the local rule of the existing agents in the system. We show the feasibility of soft control by a case study. Consider the simple but typical distributed multi-agent model proposed by Vicsek et...