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The Natural Language for Artificial Intelligence

AUTHOR Motta Monte-Serrat, Dioneia; Monte-Serrat, Dioneia Motta; Motta Monte-Serrat, Dioneia et al.
PUBLISHER Academic Press (04/06/2021)
PRODUCT TYPE Paperback (Paperback)

Description

The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language that leads to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed to indicate ways to improve the development of AI in specific fields of science.

A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine.

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Product Format
Product Details
ISBN-13: 9780128241189
ISBN-10: 0128241187
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 252
Carton Quantity: 30
Product Dimensions: 6.00 x 0.53 x 9.00 inches
Weight: 0.76 pound(s)
Feature Codes: Bibliography, Index, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Artificial Intelligence - Natural Language Processing
Dewey Decimal: 006.35
Library of Congress Control Number: 2021934917
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The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language that leads to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed to indicate ways to improve the development of AI in specific fields of science.

A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine.

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Paperback