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Semantic commitments as a mode of non-programmable computation in the brain.

K Matsuno1

  • 1Department of BioEngineering, Nagaoka University of Technology, Japan.

Bio Systems
|January 1, 1992
PubMed
Summary

The human brain processes language in a non-programmable way, managing around 3.3 lexical meanings per word. This capacity exceeds programmable limits, which are around 2.718 meanings, enabling natural language comprehension.

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Computational Linguistics

Background:

  • The brain's natural language processor (NLP) handles complex, non-programmable computations.
  • Lexical ambiguity, the multiple meanings of words, is a key challenge in NLP.

Purpose of the Study:

  • To quantitatively evaluate the non-programmable extent of the brain's NLP.
  • To determine the threshold of lexical meanings the brain can process for context comprehension.

Main Methods:

  • Assessing the average number of different lexical meanings per word as a metric.
  • Comparing brain's processing capacity with the threshold for programmable lexical disambiguation.

Main Results:

  • The brain can comprehend context with an average of 3.3 (±0.15) different lexical meanings per word.

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  • Programmable lexical disambiguation is limited to approximately e (2.718) meanings per word.
  • The brain's NLP is non-programmable as it manages > e but ≤ 3.3 meanings per word.

    • Conclusions:

    • The brain's natural language processing is inherently non-programmable due to its higher capacity for lexical ambiguity.
    • The findings provide a quantitative boundary for understanding the limits of human language comprehension.