Publication Type:


Transliteration of original Title: 
Semanticheskie processy soznaniya: ot vychislitel’nyh modeley k yazikovomu opytu
Pavel Baryshnikov
Pyatigorsk State Linguistic University
Issue number: 
No. 3 (Vol. 41)

This article looks to consider the principles of generation of the conceptual and semantic relations in the conscious experience and in the computational process of modern artificial intellectual systems. We attempt to give proof of the unformalizability of qualitative states and we mean to clarify the semantic differences between information and meaning. It’s important to describe the role of the language system in the cognitive and semantic procedures of consciousness including the computational aspect of problem. The consistent intellectual activity (in engineering approach) requires the particular material organization of processing and the rules of logical-semantic inference. The semantics of mental states demands uncertain, undefined conclusions and the agent capable of free will. Computational Theory of Mind and computer-based information system models can clearly present the cognitive process but without any explanation of substantial nature of linguistic components of consciousness. In this paper the following points are: in the human cognitive process there are some elements which are not accessible for formalization and computer modeling. One of these components is natural language fuzzy semantics. This feature of natural language is related to the private mental states and to the uniqueness of associative activity of consciousness. The stable meanings of language system are representable in the data machine forms but the pragmatic functions require the experience of conscious existence. Artificial intelligence is connected with neither world of things nor mental representations but only with information and inference rules. The natural language semantics establishes the symbolic relations between the consciousness and the entire being.

Computational Theory of Mind, computability, qualia, conceptualization, knowledge representation.

Anderson J. R., Bower G. H. Human associative memory. Washington, DC. Winston, 1973.
Baldassi C., Alemi-Neissi A., Pagan M., DiCarlo J.J., Zecchina R. Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. PLoS Comput Biol. No.9. vol. 8, 2013. DOI: 10.1371/journal.pcbi.1003167
Birjukov B.V. What computation machines cannot do. Afterword (Chego ne mogut vychislitel’nye mashiny. Vmesto poslesloviya). In Dreyfus Kh. Chego ne mogut vychislitel’nye mashiny. (What computers can’t do.) Moscow, 1978.
Fodor J. A. The language of thought. NY: Thomas Y. Crowell Company, 1975. – 215 p.
Gasparyan D. In defence of phenomenal consciousness: an argument against physicalism in contemporary analytic philosophy (V zaschitu fenomenal’nogo soznaniya: argument protiv fizikalizma v analiticheskoy filosofii). Filosofskie problem IT i kiberprostranstva (Philosophical issues of IT and cyberspace) 2013. No. 2, vol 6.
Gregory, 1998 – Gregory R.L. Eye and brain: The psychology of seeing. Oxford: Oxford University Press, 1998.
Hickok G. Parallel Parsing: Evidence from Reactivation in Garden-Path Sentences. Journal of Psycholinguistic Research Journal of Psycholinguistic Research. No.2. vol. 22, 1993. pp. 239–250.
Ivanov D.V. Priroda fenomenal’nogo soznaniya. Filosofiya soznaniya. (The nature of phenomenal consciousness). Moscow, 2013.
Logothetis N.K., Sheinberg D.L. Visual object recognition. Annual Review of Neuroscience. vol. 19., 1996. pp. 577–621
Olivier, P., Tsujii, J.-i. A computational view of the cognitive semantics of spatial prepositions. Stroudsburg, PA, USA, 1994. – P. 303-309
Paivio A. Mental representations: a dual coding approach. Oxford. England. Oxford University Press, 1986.
Pinker S. Language instinct (Yazik kak instinkt). Moscow, 2004.
Pinker S. So How Does the Mind Work?. Mind & Language. No.1. vol. 20, 2005. pp. 1–24.
Pinker S. The stuff of thought. Language as a window to the human nature. NY, Pinguin Group, 2007. - 505 p.
Prinz W. Modes of linkage between perception and action. Berlin.: Springer, 1984. 185-193 p.
Pylyshyn Z. Seeing and Visualizing: It’s Not What You think. Cambridge, MA. The MIT Press, 2003.
Shamis A.L. Puti modelirovaniya myshleniya (Ways of modelling thought). Moscow, 2005.
Sperry R.W. Neurology and the mind-body problem. American Scientist. vol. 40, 1952.
Starzy J.A., Prasad D.K. A computational model of machine consciousness.. International Journal of Machine Consciousness. 2011, 3 (2), pp.1–24.
Zhdanov A.A. Avtonomniy iskusstvennyi intellect. Adaptivnye i intellectual’nye sistemy (Autonomous artificial intelligence. The adaptive and intellectual systems). Moscow, 2009.

Full Text: