THE KUNST CONCEPT (KOGNITIVE UNIVERSAL NEURO-STRUCTURAL TOPOLOGY) AS AN EVOLUTIONARY APPROACH TO THE PROTECTION OF DESIGN CONCEPTS FROM THE PERSPECTIVE OF INTELLECTUAL PROPERTY
DOI:
https://doi.org/10.32782/2415-8151.2025.38.1.23Keywords:
design, neural structures, cognitive topology, tokenization, artificial intelligence, blockchain, intellectual propertyAbstract
Purpose. The purpose of this study is to develop a new theory and practice for protecting ideas in the field of design, based on the neurophysiological nature of creativity. Within the framework of the KUNST approach, an idea is conceptualized as a cognitive neural structure and a knowledge frame, which can be represented in the form of a formalized textual message. This approach makes it possible to form a new paradigm of intellectual property law, oriented not only toward the protection of materialized objects, but also toward the primary concepts that gave rise to them. Methodology. To achieve this goal, an interdisciplinary approach was applied, combining neuroscience, cognitive psychology, modern artificial intelligence algorithms, and legal mechanisms. The main tools include modeling ideas as topological structures, their formalization in the form of “prompt-based” descriptions, tokenization through blockchain technologies, and verification via AI. This ensures reproducibility, verifiability, and standardization of ideas at the early stages of their existence. Results. A model is proposed in which ideas can be fixed in the form of short syntactic constructions – terms that reflect their cognitive content. Such a model enables the creation of a new level of legal protection, independent of the further materialization of the idea. It combines the functions of copyright, patenting, and innovative registration, forming a unified mechanism of rights preservation, while also extending the representation of graphic methods of expressing ideas into formal mathematical descriptions. Scientific novelty. The implementation of the KUNST concept allows authors of ideas in the field of design to obtain protection already at the stage of conceptual formation. This ensures transparency in legal relations, minimizes the risks of plagiarism, and stimulates innovation. The proposed approach can serve as a foundation for creating an international system of concept registration and can be applied not only in design but also in a wider range of creative and scientific domains. Practical relevance. The proposed KUNST approach enables the development of new mechanisms of legal protection at the international level, allowing authors and designers to secure their concepts even before materialization. This opens prospects for creating a global database of ideas that prevents unauthorized use and ensures fair monetization of intellectual activity. The concept can be applied in the fields of digital design, industrial models, as well as in a wider range of creative and scientific practices.
References
Tsyvilnyi kodeks Ukrainy [Civil Code Ukraine] : Zakon Ukrainy vid 16 sichnya 2003 roku № 435-IV [Law of Ukraine on from January 16 2003, № 435-IV]. (2003, January 16). Retrieved from https://zakon.rada.gov.ua/laws/show/435-15 [in Ukrainian].
Zakon Ukrainy Pro ohoronu prav na znaky dlya tovariv i poslug : pryiniatyi 15 grud. 1993 roku № 3689-XII [Law of Ukraine on protection of rights to trademarks and service marks from December 15 1993, № 3689-XII]. (1993, December 15). Verkhovna Rada of Ukraine. Retrieved from https://zakon.rada.gov.ua/laws/show/3689-12 [in Ukrainian].
Hrytsai, S.D., & Slityuk, O.O. (2024). Etychni aspekty vykorystannya shtuchnogo intelektu v NFTmystetstvi ta dyzayni [Ethical aspects of using artificial intelligence in NFT art and design]. Proceedings from IV Vseukrainska naukovo-praktychna konferentsiia «Kompiuterni ihry ta multymedia yak innovatsiinyi pidkhid do komunikatsii» – IV All-Ukrainian Scientific and Technical Conference «Computer Games and Multimedia as an Innovative Approach to Communication». (pp. 379–380). Odesa : ONTU [in Ukrainian].
Ishchenko, K.Yu. (2024). Nevzaiemozaminni tokeny (NFT) yak aktualna skladova suchasnoho kulturno-mystetskoho prostoru [NFT as a current component of modern cultural and art space]. Visnyk Natsionalnoi Akademii Kerivnykh Kadriv Kultury i Mystetstv – Bulletin of the National Academy of Managerial Staff of Culture and Arts, 1, 266–272 [in Ukrainian].
Kapustin, P. R. (2024). Tsyfrove mystetstvo ta yoho vplyv na tradytsiine mystetstvo pochatku XXI stolittia [Digital art and its influence on traditional art of the early 21st century]. Ukrainskyi mystetstvoznavchyi dyskurs – Ukrainian Art Studies Discourse, 2, 61–65 [in Ukrainian].
Samoylenko, O.I. (2020). Psykholohiia mystetstva: suchasni muzykoznavchi proektsii [Psychology of art: Contemporary musicology projections]. Odesa: Helvetika Publishing House. [in Ukrainian].
Bently, L., Sherman B. (2018). Intellectual Property Law. 5th ed. Oxford : Oxford University Press. 1300 p. [in English].
Damasio, A. (2012). Self Comes to Mind: Constructing the Conscious Brain. New York : Vintage Books, 367 p. [in English].
Dehaene, S. (2014). Consciousness and the Brain: Deciphering How the Brain Codes Our Thoughts. New York : Viking. 384 p. [in English].
Gervais, D. (2012). The TRIPS Agreement: Drafting History and Analysis. 4th ed. London : Sweet & Maxwell. 889 p. [in English].
Goodfellow, I., Bengio, Y. (2016). Deep Learning. Cambridge, MA : MIT Press. 775 p. [in English].
Horikawa, T., Kamitani, Y. (2013). Neural decoding of visual imagery during sleep. Science, 6132, 639–642. [in English].
Hubel, D. H., Wiesel, T. N. (1959). Receptive fields of single neurones in the cat's striate cortex. The Journal of Physiology. Vol. 148, № 3, 574–591. [in English].
Kur, A., Dreier, T. (2018). Intellectual Property and General Legal Principles: Is IP a Lex Specialis? Cheltenham: Edward Elgar Publishing. 432 p. [in English].
Lakoff, G., Johnson, M. (2003). Metaphors We Live By. Chicago: University of Chicago Press. 256 p. [in English].
Lessig, L. (1999). Code and Other Laws of Cyberspace. New York: Basic Books. 297 p. [in English].
Miyawaki, Y., Uchida, H. (2008). Visual image reconstruction from human brain activity using a combination of multiscale local image decoders. Neuron. Vol. 60, № 5, 915–929. [in English].
Nishimoto, S., Vu, A. T. (2011). Reconstructing visual experiences from brain activity evoked by natural movies. Current Biology. Vol. 21, № 19,1641–1646. [in English].
Naselaris, T., & Kay, K.N. (2011). Encoding and decoding in fMRI. NeuroImage. Vol. 56, № 2, 400–410. [in English].
Tapscott, D., Tapscott, A. (2016), Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World. London: Penguin. 368 p. [in English].











