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The Natural Language for Artificial Intelligence (Paperback) Loot Price: R2,767
Discovery Miles 27 670
The Natural Language for Artificial Intelligence (Paperback): Dioneia Motta Monte-Serrat, Carlo Cattani

The Natural Language for Artificial Intelligence (Paperback)

Dioneia Motta Monte-Serrat, Carlo Cattani

Series: Cognitive Data Science in Sustainable Computing

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Loot Price R2,767 Discovery Miles 27 670 | Repayment Terms: R259 pm x 12*

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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.

General

Imprint: Academic Press Inc
Country of origin: United States
Series: Cognitive Data Science in Sustainable Computing
Release date: April 2021
First published: 2021
Authors: Dioneia Motta Monte-Serrat • Carlo Cattani
Dimensions: 229 x 152 x 16mm (L x W x T)
Format: Paperback
Pages: 252
ISBN-13: 978-0-12-824118-9
Categories: Books > Language & Literature > Language & linguistics > Computational linguistics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 0-12-824118-7
Barcode: 9780128241189

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