Research output: Contribution to journal › Article › peer-review
Emergent Intelligence via Self-Organization in a Group of Robotic Devices. / Amelin, Konstantin; Granichin, Oleg; Sergeenko, Anna; Volkovich, Zeev V.
In: Mathematics, Vol. 9, No. 12, 1314, 08.06.2021.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Emergent Intelligence via Self-Organization in a Group of Robotic Devices
AU - Amelin, Konstantin
AU - Granichin, Oleg
AU - Sergeenko, Anna
AU - Volkovich, Zeev V.
N1 - Funding Information: Funding: The Sections 1–3 were supported by the St. Petersburg State University (project No. 73555239). The Section 4 was supported by the Ministry of Science and Higher Education of the Russian Federation (Project No. 075-15-2021-573, IPME RAS). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/6/8
Y1 - 2021/6/8
N2 - Networked systems control is a known problem complicated because of the need to work with large groups of elementary agents. In many applications, it is impossible (or difficult) to validate agent movement models and provide sufficiently reliable control actions at the elementary system components level. The evolution of agent subgroups (clusters) leads to additional uncertainty in the studied control systems. We focus on new decentralized control methods based on local communications in complex multiagent dynamical systems. The problem of intelligence in a complex world is considered in connection to multiagent network systems, including a system named airplane with feathers, load balancing, and the multisensor-multitarget tracking problem. Moreover, the new result concerning the emergency of intelligence in a group of robots is provided. All these methods follow the paradigm of the direct reaction of each element (agent) of the system to its sensory data of current situation observations and the corresponding data from a limited number of its neighbors (local communications). At the same time, these algorithms achieve a mutual goal at the macro level. All of the considered emergent intelligence appearances inspire the necessity to "rethink" the previously recognized concepts of computability and algorithm in computer science.
AB - Networked systems control is a known problem complicated because of the need to work with large groups of elementary agents. In many applications, it is impossible (or difficult) to validate agent movement models and provide sufficiently reliable control actions at the elementary system components level. The evolution of agent subgroups (clusters) leads to additional uncertainty in the studied control systems. We focus on new decentralized control methods based on local communications in complex multiagent dynamical systems. The problem of intelligence in a complex world is considered in connection to multiagent network systems, including a system named airplane with feathers, load balancing, and the multisensor-multitarget tracking problem. Moreover, the new result concerning the emergency of intelligence in a group of robots is provided. All these methods follow the paradigm of the direct reaction of each element (agent) of the system to its sensory data of current situation observations and the corresponding data from a limited number of its neighbors (local communications). At the same time, these algorithms achieve a mutual goal at the macro level. All of the considered emergent intelligence appearances inspire the necessity to "rethink" the previously recognized concepts of computability and algorithm in computer science.
KW - Consensus
KW - Emergent artificial intelligence
KW - Multiagent technologies
KW - Robot
KW - consensus
KW - robot
KW - multiagent technologies
KW - MULTIAGENT
KW - TRACKING
KW - emergent artificial intelligence
UR - http://www.scopus.com/inward/record.url?scp=85108252320&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b41776ce-641a-330d-8e1b-b4a90ad10ade/
U2 - 10.3390/math9121314
DO - 10.3390/math9121314
M3 - статья
AN - SCOPUS:85108252320
VL - 9
JO - Mathematics
JF - Mathematics
SN - 2227-7390
IS - 12
M1 - 1314
ER -
ID: 78863653