ITMO
ru/ ru

ISSN: 1023-5086

ru/

ISSN: 1023-5086

Scientific and technical

Opticheskii Zhurnal

A full-text English translation of the journal is published by Optica Publishing Group under the title “Journal of Optical Technology”

Article submission Подать статью
Больше информации Back

УДК: 535.417, 004.387

Using Fourier holography to implement cognitive mechanisms for perceiving new information

For Russian citation (Opticheskii Zhurnal):

Павлов А.В. Реализация методом голографии Фурье когнитивных механизмов восприятия новой информации // Оптический журнал. 2014. Т. 81. № 2. С. 40–48.

 

Pavlov A.V. Using Fourier holography to implement cognitive mechanisms for perceiving new information [in Russian] // Opticheskii Zhurnal. 2014. V. 81. № 2. P. 40–48.

For citation (Journal of Optical Technology):

A. V. Pavlov, "Using Fourier holography to implement cognitive mechanisms for perceiving new information," Journal of Optical Technology. 81(2), 83-89 (2014). https://doi.org/10.1364/JOT.81.000083

Abstract:

In terms of an approach that uses Fourier holography to construct exclusionary logics, an implementation of a cognitive mechanism is proposed for bringing new information into accordance with an internal pictorial world. It is shown that there is a phenomenon of oscillations between stereotypes recorded on the hologram and new information, caused by the resonance architecture of the holographic setup. This phenomenon is discussed as a particular case of the manifestation of the primacy of the stability of the internal world-picture that characterizes ordinary thinking. The factors are determined that influence the dynamics of the holographic system and the characteristics of a stable decision, analogous to the formation of tolerance. For holographic implementation of an analog of the scientific form of the world-view, a mechanism is needed that establishes an iterative process—for example, self-reflection. The results of numerical modelling are presented.

Keywords:

holography, cognitive system, artificial intelligence, nonmonotonic reasonings, optical neural networks

Acknowledgements:

This work was carried out with the support of the Russian Foundation for Basic Research, Project No. 12-01-00418-a.

OCIS codes: 090.6186, 070.6110, 100.2960, 070.4790

References:

1. M. M. Miroshnikov, “Foreword from the editor of this issue,” Opt. Zh. 78, No. 12, 3 (2011) [J. Opt. Technol. 78, 765 (2011)].
2. O. P. Kuznetsov, “Cognitive semantics and artificial intelligence,” Iskusst. Intell. Prin. Resh. No. 4, 32 (2012).
3. V. N. Vagin, E. Yu. Golovina, A. A. Zagoryanskaya, and M. V. Fomina, Reliable and Correct Inference in Intelligent Systems (Fizmatlit, Moscow, 2008).
4. R. Reiter, “A logic for default reasoning,” Artif. Intell. 13, 81 (1980).
5. S. V. Astanin and T. G. Kalashnikova, “Model of nonmonotonic reasoning based on fuzzy logic,” Izv. TRTU No. 2, 81 (2000).
6. M. M. Vin’kov and I. B. Fominykh, “Nonmonotonic reasoning in dynamic intelligent systems,” Nov. Iskusst. Intell. No. 4, 12 (2005).
7. S. P. Springer and G. Deutsch, Left Brain, Right Brain: Perspectives From Cognitive Neuroscience (W. H. Freeman, New York, 2001; Mir, Moscow, 1983).
8. A. M. Alekseev, A. M. Konstantinov, and A. V. Pavlov, “Using Fourier holography to model the principle of imagery of thought,” Opt. Zh. 73, No. 9, 77 (2006) [J. Opt. Technol. 73, 640 (2006)].
9. A. V. Pavlov, “Mathematical models of optical methods of processing information,” Izv. Akad. Nauk Ser. Teor. Sis. Uprav. No. 3, 111 (2000).
10. A. V. Pavlov, “On the algebraic bases of a holographic paradigm in artifical intelligence: the algebra of Fourier-dual operators,” in Transactions of the Fifth International Scientific–Practical Conference on Integrated Models and Soft Computations in Artificial Intelligence (Fizmatlit, Moscow, 2009), vol. 1, pp. 140–148.
11. L. Zade, “The concept of linguistic variable and its application to making approximate solutions,” in Mathematics. New in Foreign Science, No. 3 (Mir, Moscow, 1976).
12. A. V. Pavlov and Ya. Yu. Shevchenko, “Implementing a logical conclusion on linguistic scales by the method of Fourier holography,” Opt. Zh. 71, No. 7, 44 (2004) [J. Opt. Technol. 71, 454 (2004)].
13. G. N. Borisyuk, R. M. Borisyuk, Ya. B. Kazanovich, and G. R. Ivanitskiı˘, “Models of neural dynamics in brain information processing—the developments of ‘the decade’,” Usp. Fiz. Nauk 172, 1189 (2002) [Phys.–Usp. 45, 1073 (2002)].
14. A. V. Pavlov, “The algebra of Fourier-dual operations: exclusionary logic,” Iskusst. Intell. Prin. Resh. No. 3, 26 (2012).
15. O. P. Kuznetsov, “Nonclassical paradigms in AI,” Izv. Akad. Nauk Ser. Teor. Sis. Uprav. No. 5, 3 (1995).
16. O. P. Kuznetsov, “Fast processes of the brain and pattern processing,” Nov. Iskusst. Intell. No. 2 (1998).
17. I. B. Fominykh, “On the technology of solving creative problems,” in Collection of the Transactions of the Eighth National Conference on Artificial Intelligence KII-2002 (Fizmatlit, Moscow, 2002), vol. 1, pp. 519–526.