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On the Possibility to Resolve the Scientific Paradoxes in Artificial Cognitive System

Natural-Constructive Approach to the Modelling A Cognitive Process

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

The concept of scientific paradox and the possibility to reveal and resolve these paradoxes by means of artificial intelligence are discussed. The cognitive architecture designed under the Natural-Constructive Approach for modeling the cognitive process is presented. This approach is aimed to interpret and reproduce the human-like cognitive features including uncertainty, individuality, intuitive and logical thinking, and the role of emotions in cognitive process. It is shown that this architecture involves, in particular, the high-level symbolic information that could be associated with concept of “science”. The scientific paradox is treated as impossibility to merge different representations of the same object. It is shown that these paradoxes could be resolved within the proposed architecture by decomposition of the high-level symbols into low-level of corresponding “images”, with subsequent revision of the object’s memorization procedure. This process should be accompanied by positive emotion manifestation (Eureka!).

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Author information

Authors and Affiliations

  1. P.N. Lebedev Physical Institute of RAS, Moscow, Russia

    Olga Chernavskaya & Dmitry Chernavskii

  2. BICA Labs, Kyiv, Ukraine

    Yaroslav Rozhylo

Authors
  1. Olga Chernavskaya
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  2. Dmitry Chernavskii
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  3. Yaroslav Rozhylo
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Corresponding author

Correspondence to Olga Chernavskaya .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Chernavskaya, O., Chernavskii, D., Rozhylo, Y. (2018). On the Possibility to Resolve the Scientific Paradoxes in Artificial Cognitive System. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_1

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-56994-9

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