Semantics and symbol grounding in Turing machine processes

Authors

  • Anna Sarosiek

DOI:

https://doi.org/10.15633/ss.2492

Keywords:

Steven Harnad, symbolic system, semantic system, symbol grounding problem, Turing machine, Turing test, Church-Turing Thesis, artificial intelligent, cognition

Abstract

The aim of the paper is to present the underlying reason of the unsolved symbol
grounding problem. The Church-Turing Thesis states that a physical problem,
for which there is an algorithm of solution, can be solved by a Turing
machine, but machine operations neglect the semantic relationship between
symbols and their meaning. Symbols are objects that are manipulated on rules
based on their shapes. The computations are independent of the context, mental
states, emotions, or feelings. The symbol processing operations are interpreted
by the machine in a way quite different from the cognitive processes.
Cognitive activities of living organisms and computation differ from each other,
because of the way they act in the real word. The result is the problem of
mutual understanding of symbol grounding.

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Published

2018-07-31

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