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Human-Like Knowledge Engineering, Generalization, and Creativity in Artificial Neural Associative Systems

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Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 364))

Abstract

This paper presents new approaches to form knowledge and achieve generalization and creativity in a human-like way using artificial associations in artificial neural associative systems. We can assume that knowledge is automatically formed in a human brain that is able to associate many objects, facts, rules, needs, and emotions. The brain structure is very specific and does not reflect architectures of today’s computers. This paper describes a neuronal structure that is able to represent various data combinations and their sequences in an aggregated form, which allows to recall consolidated facts and rules by triggering various neuron combinations. New combinations of initially triggered neurons recall even new facts and rules as a result of high-level generalization that can be treated as creative behavior. This paper provides the description of artificial neural associative systems that enable to create knowledge in a human-like associative way and to trigger artificial associations.

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Authors and Affiliations

  1. Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering, Department of Automatics and Biomedical Engineering, AGH University of Science and Technology, Mickiewicza Av. 30, 30-059, Krakow, Poland

    Adrian Horzyk

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  1. Adrian Horzyk
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Correspondence to Adrian Horzyk .

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Editors and Affiliations

  1. Department of Automatic Control and Biomedical Engineering, AGH University of Science and Technology, Kraków, Poland, and International Centre for Decision Sciences and Forecasting, Kraków, Poland

    Andrzej M.J. Skulimowski

  2. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland, and AGH University of Science and Technology, Kraków, Poland

    Janusz Kacprzyk

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Horzyk, A. (2016). Human-Like Knowledge Engineering, Generalization, and Creativity in Artificial Neural Associative Systems. In: Skulimowski, A., Kacprzyk, J. (eds) Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions. Advances in Intelligent Systems and Computing, vol 364. Springer, Cham. https://doi.org/10.1007/978-3-319-19090-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-19090-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19089-1

  • Online ISBN: 978-3-319-19090-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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