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Quantum metalanguage and the new cognitive synthesis
Ural Federal University, Russia.
Linnaeus University, Faculty of Technology, Department of Mathematics. National Research University of Information Technologies, Russia.ORCID iD: 0000-0002-9857-0938
University of Louisville, USA.
2019 (English)In: NeuroQuantology, ISSN 1303-5150, Vol. 17, no 1, p. 72-96Article in journal (Refereed) Published
Abstract [en]

Problems with mechanisms of thinking and cognition in many ways remain unresolved. Why are a priori inferences possible? Why can a human understand but a computer cannot? It has been shown that when creating new concepts, generalization is contradictory in the sense that to be created concepts must exist a priori, and therefore, they are not new. The process of knowledge acquisition is also contradictory, as it inevitably involves recognition, which can be realized only when there is an a priori standard. Known approaches of the framework of artificial intelligence (in particular, Bayesian) do not determine the origins of knowledge, as these approaches are effective only when “good” hypotheses are made. The formation of “good” hypotheses must occur a priori. To address these issues and paradoxes, a fundamentally new approach to problems of cognition that is based on completely innate behavioral programs is proposed. The process of cognition within the framework of the concept of a quantum metalanguage involves the selection of adequate a priori existing (innate) programs (logical variables and rules for working with them) that are most adequate to a given situation. The quantum properties of this metalanguage are necessary to implement such programs.

Place, publisher, year, edition, pages
AnKa Publisher , 2019. Vol. 17, no 1, p. 72-96
Keywords [en]
Chinese room, Generalization, Knowledge acquisition, Metalanguage, Quantum decision making, Understanding, article, artificial intelligence, decision making, human, human experiment, learning, synthesis
National Category
Other Mathematics Software Engineering Neurosciences
Research subject
Mathematics, Applied Mathematics
Identifiers
URN: urn:nbn:se:lnu:diva-82893DOI: 10.14704/nq.2019.17.1.1904Scopus ID: 2-s2.0-85062843701OAI: oai:DiVA.org:lnu-82893DiVA, id: diva2:1317530
Available from: 2019-05-23 Created: 2019-05-23 Last updated: 2019-08-29Bibliographically approved

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Khrennikov, Andrei

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  • apa
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