Mob Control: Models of Threshold Collective Behavior

This book presents mathematical models of mob control with threshold (conformity) collective decision-making of the agents. Based on the results of analysis of the interconnection between the micro- and macromodels of active network structures, it considers the static (deterministic, stochastic and...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Breer, Vladimir V. (Συγγραφέας), Novikov, Dmitry A. (Συγγραφέας), Rogatkin, Andrey D. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Studies in Systems, Decision and Control, 85
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Breer, Vladimir V.  |e author. 
245 1 0 |a Mob Control: Models of Threshold Collective Behavior  |h [electronic resource] /  |c by Vladimir V. Breer, Dmitry A. Novikov, Andrey D. Rogatkin. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a VIII, 134 p. 29 illus., 13 illus. in color.  |b online resource. 
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490 1 |a Studies in Systems, Decision and Control,  |x 2198-4182 ;  |v 85 
505 0 |a Introduction -- Models of Threshold Collective Behavior -- Micro- and Macromodels -- Deterministic Models of Mob Control -- Stochastic Models of Mob Control -- Game-Theoretic Models of Mob Control -- Dynamic Models of Mob Control in Discrete Time -- Dynamic Models of Mob Control in Continuous Time -- Micromodels of Informational Confrontation -- Macromodels of Informational Confrontation -- Models of Mob Self-Excitation. 
520 |a This book presents mathematical models of mob control with threshold (conformity) collective decision-making of the agents. Based on the results of analysis of the interconnection between the micro- and macromodels of active network structures, it considers the static (deterministic, stochastic and game-theoretic) and dynamic (discrete- and continuous-time) models of mob control, and highlights models of informational confrontation. Many of the results are applicable not only to mob control problems, but also to control problems arising in social groups, online social networks, etc. Aimed at researchers and practitioners, it is also a valuable resource for undergraduate and postgraduate students as well as doctoral candidates specializing in the field of collective behavior modeling. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Application software. 
650 0 |a System theory. 
650 0 |a Computational intelligence. 
650 0 |a Control engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Computational Social Sciences. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Control. 
650 2 4 |a Complex Systems. 
650 2 4 |a Computer Appl. in Social and Behavioral Sciences. 
700 1 |a Novikov, Dmitry A.  |e author. 
700 1 |a Rogatkin, Andrey D.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319518640 
830 0 |a Studies in Systems, Decision and Control,  |x 2198-4182 ;  |v 85 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-51865-7  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)