Модель квантового нечеткого вывода как квантовый алгоритм управления самоорганизацией (принцип минимума энтропии относительно к квантовым знаниям)
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Рассматривается структура модель квантового нечеткого вывода (КНВ), реализующая процесс самоорганизации. КНВ является одним из возможных способом реализации квантового алгоритма управления самоорганизацией, включающей следующие характерные особенности: 1) суперпозиция, 2) выбор типа квантовой корреляции, 3) передача информации и квантовый оракул (динамическая эволюция), 4) интерференция. Модель КНВ введена на основе термодинамических и информационно-теоретических мер взаимодействия агентов в коммуникационном пространстве между макро- и микро-уровнями (вспомогательная корреляция запутанных состояний в активной системе, представленной в виде коллектива интеллектуальных агентов).
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Ulyanov S.V. Self-organized control system: US patent, №. 6, 411, 944, 1997; see also Selforganization fuzzy chaos intelligent controller for robotic unicycle: A new benchmark in AI control // Proceedings 5th Intelligent System Symposium, Tokyo, Sep. 29 -30, 1995. – Pp.41-46.
Ulyanov S.V., Litvintseva L.V., Ulyanov I.S., Ulyanov S.S. Quantum information and quantum computational intelligence: Quantum optimal control and filtering – Stability, robustness, and self-organization models in nanotechnologies // Note del Polo Ricerca, Università degli Studi di Milano. – Milan, 2005. – Vol. 82.
Ulyanov S.V., Litvintseva L.V., Ulyanov S.S. Quantum swarm model of self-organization process based on quantum fuzzy inference and robust wise control design // Proc. 7th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS’2006), September 13-14, 2006. – Siegen, Germany, 2006. – Pp. 10-19.
Camazine S., Deneubourg J.-L., Franks N.R., Sneyd J., Theraulaz G., Bonabeau E. Self-organization in biological systems. – Princeton University Press, 2008.
Hemelrijk C.K. (Ed.) Self-organisation and evolution of social systems. – UK: Cambridge University Press, 2005.
Helbing D. Traffic and related self-driven many-particle systems // Reviews of Modern Physics, 2001. – Vol. 73. – № 4. – Pp.1067-1141.
Czap H., Unland R., Branki C., H. Tianfield (Ed.) Self-organization and autonomic informatics, (Frontiers in Artificial Intelligence and Applications). – 2005. – Vol. 135.
Solé R. V., Bascompte J. Self-organization in complex ecosystems. – Princeton University Press, 2006.
Haken H. Information and self-organization: A macroscopic approach to complex systems, Springer Verlag, Ed. 3rd, 2006.
Mamei M., Menezes R., Tolksdorf R., Zambonelli F. Case studies for self-organization in computer science // Journal of Systems Architecture, 2006. – Vol. 52. – № 8-9. – Pp. 443-460.
Detrain C., Deneubourg J.-L. Self-organized structures in a superorganism: do ants «behave» like molecules? // Physics of Life Reviews. – 2006. – Vol. 3. – № 3. – Pp. 162-187.
Ben-Jacob E., Levine H. Self-engineering capabilities of bacteria // J. R. Soc. Interface. – 2006. – Vol.
– № 2. – Pp. 197-214.
Parunak H., Brueckner S. Entropy and self-organization in multi-agent systems // Proc. of the Fifth International Conference on Autonomous Agents. – Montreal: ACM Press, 2001. – Pp. 124-130.
Guerin S., Kunkle D. Emergence of constraint in self-organizing systems // Nonlinear Dynamics, Psychology, and Life Sciences. – 2004. – Vol. 8. – №. 2. – Pp. 131-146.
Baldassarre G., Trianni V., Bonani M., Mondada F., Dorigo M., Nolfi S. Self-organized coordinated motion in groups of physically connected robots // IEEE Transactions on Systems, Man and Cybernetics (Part B: Cybernetics). – 2007. – Vol. 37. – № 1. – Pp. 224-239.
Trianni V. On the evolution of self-organizing behaviors in a swarm of autonomous robots // Ph.D. Thesis, Universite Libre de Bruxelles Universite d'Europe. – IRIDIA, 2005-2006.
Prokopenko M., Gerasimov V., Tanev I. Evolving spatiotemporal coordination in a modular robotic system // Lecture Notes in Computer Science (LNCS). – 2006. – Vol. 4095. – Pp. 558-569 [Proc. 9th International Conference on the Simulation of Adaptive Behavior (SAB 2006): From Animals to Animats].
Mathews G. , Durrant-Whyte H., Prokopenko M. Measuring global behavior of multi-agent systems from pair-wise mutual information // Lecture Notes in Computer Science (LNCS), 2005. – Vol. 3684. – Pp. 587-594.
Raichman N., Gabay T., Katsir Y., Shapira Y., Ben-Jacob E. Engineered self organization in natural and man-made systems // Natural and man-made systems in continuous media and discreet systems (ed. D. J. Bergman & E. Inan). – NY: Kluwer, 2004.
Adami Ch. Information theory in molecular biology // Physics of Life Reviews, 2004. – Vol. 1. – № 1. – Pp. 3-22.
Gershenson C. Design and control of self-organizing systems // PhD Thesis, Vrije Universiteit Brussel, 2006.
Ulyanov S.V. Design of self-organized intelligent control systems based on quantum fuzzy inference: Intelligent system of systems engineering approach // IEEE International Conference on Systems, Man and Cybernetics, Hawaii, USA, 10-12 Oct. 2005. – 2005. – Vol. 4, pp. 3835 – 3840.
Ulyanov S.V., Takahashi K., Kurawaki I. et al. Quantum soft computing: Quantum global optimization and quantum learning processes – Application in AI, informatics and intelligent control processes // Proceedings of the 7th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI’2003). – Florida, Orlando, USA, 2008. – Vol. 7. – Pp. 422 - 427.
Ulyanov S.V. Quantum soft computing in control process design: Quantum genetic algorithms and quantum neural network approaches // Proceedings of World Automation Congress (WAC’2004): Soft computing with Industrial Applications (ISSCI’2004). – Seville, Spain, 2004. – Vol. 17. – Pp. 99-104.
Ulyanov S.V. System and method for control using quantum soft computing: US patent No 6,578,018B1, 2008.
DiVincenzo D.P., Horodecki M., Leung D.W., Smolin J.A., Terhal B.M. Locking classical correlation in quantum states // Physical Review Letters. – 2004. – Vol. 92. – № 6. – Pp. 067902.
Ulyanov S.V., Litvintseva L.V., Ulyanov S.S. et al. Self-organization principle and robust wise control design based on quantum fuzzy inference // Proceedings of Internat. Conf. ICSCCW’2005. – Antalya, Turkey, 2005. – Pp. 16-48.
Litvintseva L.V., Ulyanov S.V., Takahashi K. et al. Design of self-organized robust wise control systems based on quantum fuzzy inference // Proceedings of World Automation Congress (WAC’2006): Soft computing with Industrial Applications (ISSCI’2006). – Budapest, Hungary, 2006. – Vol. 5.
Ozhigov Yu.I. About mathematical apparatus of many body quantum dynamics // arXiv: quantph/0604055 v1, 2006.
Zak M. Entanglement-based self-organization // Chaos, Solitons & Fractals. – 2002. – Vol. 14. – № 5. – Pp. 745-758.
Ulyanov S.V., Litvintseva, Ulyanov I.S., Ulyanov S.S. Quantum information and quantum computational intelligence: L.V. Quantum decision making and search algorithms, Note del Polo Ricerca, Università degli Studi di Milano (Polo Didattico e di Ricerca di Crema). – Milan, 2005. – Vol. 84-85.
Correa A.A., Reboredo F.A., Balseiro C.A. Quantum corral wave-function engineering // Physical Review. – 2005. – Vol. B71. – № 3. – Pp.035418; (see also arXiv: cond-mat/0408585 v1, 2004).
Fiete G.A., Heller E.J. Theory of quantum corrals and quantum mirages // Reviews of Modern Physics. – 2003. – Vol. 75. – № 3. – Pp. 933-948.
Nielsen M.A., Chuang I.L. Quantum Computation and Quantum Information. – UK: Cambridge Univ. Press, 2000.
Eigler D. M., Lutz C. P., Crommie M. F. Information transport and computation in nanometre-scale structures // Phil. Trans. R. Soc. Lond. – 2004. – Vol. A362. – Pp. 1135-1147.
Mannucci M.A. Quantum fuzzy sets: Blending fuzzy set theory and quantum computation // arXiv: cs/0604064v1 [cs. LO], 2006.
Ghisi F., Ulyanov S.V. The information role of entanglement and interference in Shor quantum algorithm gate dynamics // Journal of Modern Optics. – 2000. – Vol. 47. – № 12. – Pp. 1012- 1028.
Zurek W.H. Probabilities from entanglement, Born’s rule pk k 2 from envariance // Physical Review. – 2005. – Vol. A71. – № 5. – Pp. 05237.
Williams S.R., Evans D.J., Mittag E. Negative entropy production in oscillatory processes // arXiv: cond-mat/0612014 v1, 2006.
Ulyanov S.V., Litvintseva L.V., Ulyanov S.S. et al. Computational intelligence with quantum game’s approach and robust decision-making in communication information uncertainty // Proceedings of Internat. Conf. on Computational Intelligence (ICCI’2004). – Nicosis, North Cyprus, 2004. – Pp. 172-187.
Ulyanov S.V., Takahashi K., Litvintseva L.V. et al. Quantum soft computing via robust control: Classical efficient simulation of wise quantum control in non-linear dynamic systems based on quantum game gates // Proceedings of 2nd Internat. Conf. on Soft Computing, and Computing with Words in System Analysis, Decision and Control (ICSCCW’2003). – Antalya, Turkey, 2008. – Pp. 11-41.
Ulyanov S.V., Degli Antoni G., Yamafuji K. et al. Physical limits and information bounds of microcontrol. Pt 2: Quantum soft computing and quantum search algorithms // Proceedings Internat. Symp. Micro-machine and Human Science (MHS’98). – Nagoya, Japan, 1998. – Pp. 217-224.
Ulyanov S.V., Kurawaki I., Litvintseva L.V. et al. Applied quantum soft computing for optimization of KB structures in fuzzy controllers: Introduction // Proceedings World Cong. on Intelligent Systems on Industrial Automation (WCIS’2000). – Tashkent, Uzbekistan, 2000. – Pp. 34-57.
Ulyanov S.V., Litvintseva L.V., Kurawaki I. et al. Applied quantum soft computing for global optimization and robust control design: Methodological approach // Proceedings 4th Internat. Conf. on Applications of Fuzzy Systems and Soft Computing (ICAFS’ 2000). – Siegen, Germany, 2000. – Pp. 190-218.
Ulyanov S.V., Takahashi K., Kurawaki I. et al. Quantum soft computing: Quantum global optimization and quantum learning processes – Application in AI, informatics and intelligent control processes // Proceedings of the 7th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI’2003). – Florida, Orlando, USA, 2008. – Vol. 7. – Pp. 422-427.
Ulyanov S.V. Quantum soft computing in control process design: Quantum genetic algorithms and quantum neural network approaches // Proceedings of World Automation Congress (WAC’2004): Soft computing with Industrial Applications (ISSCI’2004). – Seville, Spain, 2004. – Vol. 17. – Pp. 99-104.