Literature DB >> 26975762

Artificial Intelligence and Semantics through the Prism of Structural, Post-Structural and Transcendental Approaches.

Diana Gasparyan1.   

Abstract

There is a problem associated with contemporary studies of philosophy of mind, which focuses on the identification and convergence of human and machine intelligence. This is the problem of machine emulation of sense. In the present study, analysis of this problem is carried out based on concepts from structural and post-structural approaches that have been almost entirely overlooked by contemporary philosophy of mind. If we refer to the basic definitions of "sign" and "meaning" found in structuralism and post-structuralism, we see a fundamental difference between the capabilities of a machine and the human brain engaged in the processing of a sign. This research will exemplify and provide additional evidence to support distinctions between syntactic and semantic aspects of intelligence, an issue widely discussed by adepts of contemporary philosophy of mind. The research will demonstrate that some aspect of a number of ideas proposed in relation to semantics and semiosis in structuralism and post-structuralism are similar to those we find in contemporary analytical studies related to the theory and philosophy of artificial intelligence. The concluding part of the paper offers an interpretation of the problem of formalization of sense, connected to its metaphysical (transcendental) properties.

Entities:  

Keywords:  Artificial intelligence; Cognitive linguistics; Meaning; Post-structural semantics; Post-structuralism; Reference; Semantics; Semiosis; Sense; Structural linguistics; Structural semantics; Structuralism; Syntaxes

Mesh:

Year:  2016        PMID: 26975762     DOI: 10.1007/s12124-016-9344-8

Source DB:  PubMed          Journal:  Integr Psychol Behav Sci        ISSN: 1932-4502


  4 in total

1.  Return of the mental image: are there really pictures in the brain?

Authors:  Zenon Pylyshyn
Journal:  Trends Cogn Sci       Date:  2003-03       Impact factor: 20.229

2.  Could a machine think?

Authors:  P M Churchland; P S Churchland
Journal:  Sci Am       Date:  1990-01       Impact factor: 2.142

Review 3.  Visual object recognition.

Authors:  N K Logothetis; D L Sheinberg
Journal:  Annu Rev Neurosci       Date:  1996       Impact factor: 12.449

4.  Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons.

Authors:  Carlo Baldassi; Alireza Alemi-Neissi; Marino Pagan; James J Dicarlo; Riccardo Zecchina; Davide Zoccolan
Journal:  PLoS Comput Biol       Date:  2013-08-08       Impact factor: 4.475

  4 in total
  1 in total

1.  The Parasitic Nature of Social AI: Sharing Minds with the Mindless.

Authors:  Henrik Skaug Sætra
Journal:  Integr Psychol Behav Sci       Date:  2020-06
  1 in total

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