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This article is cited in 1 scientific paper (total in 1 paper)
COMPUTER SCIENCE. CALCULATION EQUIPMENT. MANAGEMENT
Computer model of the emergence of collective robot behavior
M. P. Krivenkoa, M. I. Anchekovb a Institute of Computer Technology and Information Security,
South Federal University,
347928, Rostov Region, Taganrog, per. Nekrasovsky, 44
b Institute of Computer Science and Problems of Regional Management –
branch of Federal public budgetary scientific establishment "Federal scientific center
"Kabardin-Balkar Scientific Center of the Russian Academy of Sciences",
360000, KBR, Nalchik, 37-a, I. Armand St.
Abstract:
The object of research is the collective behavior of robots. The subject of the research is the process of
the emergence of collective behavior of robots based on messaging.
The paper presents a description of a computer model in which teams of robots can solve the problem
of search behavior, using the possibilities of communication among themselves. Robots solve the problem
of finding energy sources in a two-dimensional flat world with integer coordinates. A computer experiment suggests two populations of robots. The first population of robots has the ability to communicate
with each other, the second one does not. In the process of functioning, robots must learn to form text
messages that will describe the location of energy sources. Since robots operate in a partially observable
environment, information about the location of energy sources received from other robots will allow
more efficient solution of the problem of search behavior. The success of solving the problem will be
evaluated by the amount of energy that each of the populations possesses.
Keywords:
multiagent neural network, multiagent system, robotic systems, collective behavior.
Received: 10.12.2019
Citation:
M. P. Krivenko, M. I. Anchekov, “Computer model of the emergence of collective robot behavior”, News of the Kabardin-Balkar scientific center of RAS, 2019, no. 6, 21–26
Linking options:
https://www.mathnet.ru/eng/izkab7 https://www.mathnet.ru/eng/izkab/y2019/i6/p21
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Abstract page: | 69 | Full-text PDF : | 31 | References: | 20 |
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