Organizing Local Behavior in Complex Systems

V. Varshavsky and I. Levin (Israel)


distributed artificial intelligence, education, massively parallel computing.


This paper deals with exploring the decentralized control by using a simulation based learning environment from the one hand and by utilizing theoretical results belonging to the Collective behavior of automata from the other hand. We focus on one of the important issues of the decentralized control: forming system of laws and rules that provides achieving goals of the system. These laws can be considered as a global control within a decentralized system. This issue had not been investigated in an educational context. Usually system simulation based educational environments serve just a main idea of the decentralized control – functioning without any global (centralized) algorithm. Meanwhile, real decentralized systems work in a different way. Most of them have some kind of the centralized control being implemented in a form rules or laws relating to the whole environment and providing the tolerance of global and local goals of the system. Introducing of such kind of control into the educational system increase both a plurality of real world oriented learning activities and a theoretical deepness of system phenomena to be discussed on the lesson.

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