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
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.