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( ): ( ): - : 2015 : : .. ( ) .: -, 2015. 107 . : - (, , ). , . : , -, -. . , , , , -. : (pdf) : 2431, : 657 |
Big Data and Big Control: : 2015 : .. : Advances in Systems Science and Applications () : 1 : Novikov D.A. Big Data and Big Control // Advances in Systems Science and Applications. 2015. 1. P. 21 36. : This paper analyzes and structures modern challenges in the field of big data handling, arising before hardware developers, experts in applied mathematics and artificial intelligence, as well as researchers focused on different application domains. The author outlines further development of the theory and applications of big control, i.e., control based on big data. : (pdf) : 2835, : 838 |
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-: : 2015 : .. : () : 55 : .., .., .. - // . 2015. 55. . 35. 53. : We study models of collective multi-threshold behavior of agents mak-ing binary decisions. The general analysis scheme of these models is applied to three control problems of ecological-economic systems, namely, the problem of individual penalties, the problem of individual and collective penalties, as well as the incentive problem of agents investments in environmental protection and/or restoration. : (pdf) : (pdf) : 2441, : 2135 |
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-: : 2015 : .. : () : 55 : .., .. - // . 2015. 55. . 362 372. : - -. : (pdf) : (pdf) : 2532, : 1571 |
Incentive Mechanisms for Multi-agent Organizational Systems: ( ): Springer : 2016 : .. : New Frontiers in Information and Production Systems Modeling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production : Novikov D.A. Incentive Mechanisms for Multi-agent Organizational Systems / New Frontiers in Information and Production Systems Modeling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production / Series Intelligent Systems Reference Library. Ed. by P. Rozewsky, D. Novikov, O. Zaikin, N. Bakhtadze. Berlin: Springer, 2016. 268 p. P. 35 57. : This work considers game-theoretic models of incentive mechanisms for multi-agent organizational systems. Three main principles of optimal incentive scheme design for interacting agents are derived, namely, the principle of compensation, the principle of decomposition and the principle of aggregation. Models of agents self-coordination are explored in terms of side-payoff games. And finally, we study identification problems for agents preferences. : (pdf) : 2861, : 741 |
Teams: Building, Adaptation and Learning: ( ): Springer : 2016 : .. : New Frontiers in Information and Production Systems Modeling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production : Novikov D.A. Teams: Building, Adaptation and Learning / New Frontiers in Information and Production Systems Modeling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production / Series Intelligent Systems Reference Library. Ed. by P. Rozewsky, D. Novikov, O. Zaikin, N. Bakhtadze. Berlin: Springer, 2016. 268 p. P. 3 - 34. : Game-theoretical models of of team building, team adaptation and team learning are considered for multi-agent organizational systems. Its shown that models of team building and functioning described in terms of reflexive games reproduce the autonomy and coordination of team activity. Team adaptation is considered as the beliefs updating under the absence of common knowledge among the agents. In the framework of the joint learning model the optimal learning problem is stated and solved as the allocation of the volumes of works performed by agents in certain time intervals. : (pdf) : 3037, : 794 |
Cybernetics: from Past to Future: ( ): Springer : 2016 : : Novikov D.A. Cybernetics: from Past to Future. - Heidelberg: Springer, 2016. 107 p. : This book is a brief navigator across the history of cybernetics, its state-of-the-art and prospects. The evolution of cybernetics (from N. Wiener to the present day) and the reasons of its ups and downs are considered. The correlation of cybernetics with the philosophy and methodology of control, as well as with system theory and systems analysis is established. A detailed analysis focuses on the modern trends of research in cybernetics. A new development stage of cybernetics (the so-called cybernetics 2.0) is dis-cussed as a science on general regularities of systems organization and control. The author substantiates the topicality of elaborating a new branch of cybernetics, i.e., organization theory (O3) which studies an organization as a property, process and system. The book is intended for theoreticians and practitioners, as well as for stu-dents, postgraduates and doctoral candidates. In the first place, the target audience includes tutors and lecturers preparing courses on cybernetics, control theory and systems science. : (pdf) : 3191, : 139086 |
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"" ( ): : 2015 : .. : () : 2 : .. "" ( ) // . 2015. 2. . 5 - 13. : ( , , , ) . : (pdf) : 3183, : 557811 |
2.0: : 2016 : .. : () : 1 : .. 2.0 // . 2016. 1. . 73 - 81. : , 2.0, ( ) . ( 3), , . : (pdf) : 3155, : 837 |
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-: ( ): : 2014 : : .., .., .. . - .: , 2014. - 208 . : . , , () . , , , . . , , , . : . . .. , - .-. .. : (pdf) : 3355, : 1536 |
Is Cybernetics a Motorway to the Future Heaven?: : 2016 : .. : Pomiary Automatyka Robotyka () : Vol. 20. No 2 : Novikov D.A. Is Cybernetics a Motorway to the Future Heaven? // Pomiary Automatyka Robotyka. 2016. Vol. 20. No 2. P. 64-67. : (pdf) : 2707, : 664 |
Users' preference share as a criterion for hierarchical menu optimization: : 2016 : : 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems : Goubko M., Varnavsky A. Users' preference share as a criterion for hierarchical menu optimization / Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 21-24 June 2016, Brussels, Belgium, P. 305-310. : Recently developed computer-aided design (CAD) tools automate design of rational hierarchical user menu structures. Proper choice of the optimization criterion is the key factor of success for such a CAD tool. We suggest user preference share as a novel metric of menu layout performance. It has clear economic grounds and is sound for management. We show how the preference share of a menu layout can be evaluated from laboratory experiments and predicted using the experimental menu navigation time and menu layout characteristics. Although navigation time is the most important factor, sometimes the faster does not mean the better. The logical compliance of a menu is also valuable for users. : (pdf) : 3282, : 1431 |
:: ( ): : 2016 : : .., .., .. : . .: , 2016. 168 . : , () . - (, -) ( ) . . , , .. , , , . : (pdf) : 3247, : 955 |
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: ( ): : 2016 : : .. : / .. , .. . .: , 2016. 208 . ISBN 978-5-914-50-186-7. : , - . , , . , - . - . - . , - , , - () . : (pdf) : 2312, : 550 |
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: : 2016 : : XIII ( ) -2016 : . . , . . , . . , . . , . . . // XIII ( ) -2016, 10-14 2016 , . 159-161. : , . (, -), .. . (, ). . (), , . : (pdf) : (pdf) : 2632, : 1321 |
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: . , ,: ( ): : 2016 : : .. : . , , . .: , 2016. 160 . : , - . ( . ), . , . . 2.0, ( ) . ( 3), , . , , . , , , . : (pdf) : 2681, : 635 |
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Hierarchical Models in Modern Control Theory: ( ): Springer : 2016 : .. : Novikov D.A. Hierarchical Models in Modern Control Theory / Proceedings of Automation-2016, March 2-4 Warsaw: PIAP / Challenges in Automation, Robotics and Measurement Techniques. Springer, 2016. P. 3 12. : Historical and modern approaches towards heterogeneous models and hierarchical modeling in control theory are listed. A unified approach towards a design of hierarchical models of multiagent systems is described and illustrated by the example of diffuse bomb model. Problems of hierarchical automation in organization-technical and production systems are described. General problems of hierarchical modeling are underlined. : (pdf) : 2585, : 558 |
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Cybernetics 2.0: : 2016 : .. : Advances in Systems Science and Application () : 1 : Novikov D.A. Cybernetics 2.0 // Advances in Systems Science and Application. 2016. Vol. 16. No. 1. P. 1 18. : The evolution of cybernetics (from N. Wiener to the present day) is briefly considered. A new development stage of cybernetics (the so-called cybernetics 2.0) is discussed as a science on general regularities of systems organization and control. The author substantiates the topicality of elaborating a new branch of cybernetics, i.e., Organization theory (O3) which studies an organization as a property, process and system. : (pdf) : 2452, : 619 |
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: ( ): : 2016 : : .., .. / 13- - : .., .. / 13- - ('2016, ). .: , 2016. . 252-262. : (pdf) : 2363, : 1636 |
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: ( ): : 2016 : : 59- : .., .. / 59- (, 2016). : , 2016. : , . . , , . . . [1] . [2] , . [3] . [4] , , [5] . , , [3, 5]; . . , . : . K , . , : C, , . P, , , , . , , . , , . S , . (Optimal Power Flow, OPF) . . , . , . , : F= α_C C+α_D D+S . rK,r>1 F S. , , . K F CPLEX 12. , r. . N. Fan, D. Izraelevitz F. Pan, P. M. Pardalos, J. Wang. A mixed integer programming approach for optimal power grid intentional islanding // Energy Systems. 2012. V. 3, P. 77-93. L. Ding, F. Gonzalez-Longatt, P. Wall, V. Terzija. Two-step spectral clustering controlled islanding algorithm // IEEE Transactions on Power Systems. 2013. V. 28, N 1. P. 75-84. P.A. Trodden, W.A. Bukhsh, A. Grothey, K. McKinnon. MILP formulation for controlled islanding of power networks // Electrical Power and Energy Systems. 2013. V. 45, P. 501-508. R. Sanchez-Garcia, M. Fennelly, S. Norris, N. Wright, G. Niblo, J. Brodzki, J. Bialek. Hierarchical Spectral Clustering of Power Grids // IEEE Transactions on Power Systems. 2014. V. 29, N 5. P. 2229-2237. J. Quiros-Tortos, R. Sanchez-Garcia, J. Brodzki, J. Bialek, V. Terzija. Constrained Spectral Clustering Based Methodology for Intentional Controlled Islanding of Large-Scale Power Systems // IET Generation Transmission & Distribution. 2015. V. 9. N 1. P. 31-42. : (pdf) : 2517, : 568 |
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: ( ): : 2016 : : 59- : .. / 59- (, 2016). : -, 2016. : (WI) () [1] , , . [2]. WI : WI , . , , [3, 4]. WI [5]. ( ) . [6]. WI . , (, ), [3] [7] . , WI NP- ( ). , , , WI . ), T, . . . Wiener H. Structural determination of paraffin boiling points // J. Am. Chem. Soc. 1947. N 69. P. 1720. Dobrynin A. A., Entringer R., Gutman I. Wiener index of trees: theory and applications // Acta Appl. Math. 2001. N 66. P. 211249. Wang H. The extremal values of the Wiener index of a tree with given degree sequence // Discr. Appl. Math. 2008. N 156. P. 26472654. Zhang X.-D., Xiang Q. Y., Xu L. Q., Pan R. Y. The Wiener index of trees with given degree sequences // MATCH Commun. Math. Comput. Chem. 2008. N 60. P. 623644. Klavžar S., Gutman I. Wiener number of vertexweighted graphs and a chemical application // Discr. Appl. Math. 1997. N 80. P. 7381. Goubko M. Minimizing Wiener index for vertex-weighted trees with given weight and degree sequences // MATCH Commun. Math. Comput. Chem. 2015. N 73. P. 327. Çela E., Schmuck, N. S., Wimer, S., Woeginger, G. J. The Wiener maximum quadratic assignment problem // Discrete Optimization. 2011. V. 8. N. 3. P. 411416. : (pdf) : 2586, : 1648 |
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