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Simulation of reactive multi-agents
Grégory Beurier, Nazim Fatès, Fabien Michel
Thursday 17 June, 14:50
This tutorial presents the TurtleKit and FiatLux simulation platforms. TurtleKit is dedicated to the simulation of situated complex systems via the use of multiagent models. This platform relies on the combination of Logo-like simulation models with high level programming languages (JAVA, Python). We present the TurtleKit and FiatLux main features and illustrate them through simulations of common Artificial Life models (termites simulation, game of life, ACO...).

Simulation of cognitive multi-agents
Bruno Di Stefano
Friday 18 June, 10:50

Some Problems and Challenges in Discrete Dynamical Systems Research: A Theoretical Computer Science Perspective
Predrag Tosic
Friday 18 June, 11:35
Various aspects of emerging behavior and collective dynamics have been common themes of a considerable research about complex systems and dynamical systems over the course of several decades. The most common tool of quantitative analysis of dynamic properties of various models of such systems studied in applied mathematics, physics, theoretical biology and other scientific disciplines is computer simulation. Simulation is usually the best (and often times, the only) way to gain deeper understanding about the typical, or expected, behavior of various complex systems of interest, under particular conditions and assumptions. Theoretical computer science, in contrast, typically tries to address the worst-case complexity of objects or models of interest. In this talk, we discuss how theoretical computer science, more specifically its branch known as computational complexity, has provided many valuable insigths into the worst-case behavior of various models of dynamical systems studied in statistical physics, theoretical biology, distributed computing and other areas.

Last Update : June 2010