Modelling of Complex Systems: Systems as Dataflow Machines

Modelling of Complex Systems: Systems as Dataflow Machines

We develop a unified functional formalism for modelling complex systems, that is to say systems that are composed of a number of heterogeneous components, including typically software and physical devices. Our approach relies on non-standard analysis that allows us to model continuous time in a discrete way. Systems are defined as generalized Turing machines with temporized input, internal and ...

From theory to modelling : urban systems as complex systems

The question of complexity and its increasing application to social sciences is challenging the modelling of spatial systems. New concepts and new methods have been proposed and invite to reformulate classical modelling frames. This approach is demanding to open a better informed dialogue between the disciplines which supply models and tools and those where the existing knowledge is reformulate...

Complex fuzzy linear systems

LK-INTERIOR SYSTEMS AS SYSTEMS OF “ALMOST OPEN” L-SETS

We study interior operators and interior structures in a fuzzy setting.We investigate systems of “almost open” fuzzy sets and the relationshipsto fuzzy interior operators and fuzzy interior systems.

Complex Systems And Self Organization Modelling Understanding Complex Systems

applications of nonlinear dynamics model and design of complex systems understanding complex systems PDF predicting the future completing models of observed complex systems understanding complex systems PDF emergent properties in natural and artificial dynamical systems understanding complex systems PDF principles of systems science understanding complex systems PDF frequency domain analysis an...