Post-Non-Classical Artificial Intelligence and its Pioneer Practical Applications
| Autor: | A. N. Raikov |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Collective unconscious Computer science Semantics (computer science) business.industry media_common.quotation_subject Deep learning 020208 electrical & electronic engineering Cognitive semantics Cognition 02 engineering and technology Semantics 020901 industrial engineering & automation Development (topology) Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Artificial intelligence Consciousness business media_common |
| Zdroj: | IFAC-PapersOnLine. 52:343-348 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2019.12.547 |
| Popis: | Artificial intelligence (AI) approaches and methods have been developed since the beginning of the last century. This paper identifies three stages in the history of AI development: classical, non-classical, and post-non-classical, where each stage includes the capabilities of the previous one. Classical and non-classical approaches include logical constructions, deep learning, genetic and ant algorithms, denotative (formalised) semantics and ontologies. Post-non-classical approaches aim to embrace latent parts of consciousness by indirect methods, including convergent approaches, quantum semantics, topologies and category theories, inverse problem solving, cognitive modelling and the like. The convergent approach takes into account the collective unconscious and can help to enrich conceptual models with cognitive (non-formalised) semantics. The continual power of cognitive semantics is tens of orders of magnitude greater than that of denotative semantics, but there are as yet no methods for using this potential. Examples of the real practical implementation of the components of post-non-classical AI approaches are given, and a design for a digital platform is suggested. |
| Databáze: | OpenAIRE |
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