The Natural Language for Artificial Intelligence (Cognitive Data Science in Sustainable Computing)
Language: English
Published by Academic Press, 2021
Series: Book 2 of 10 - Cognitive Data Science in Sustainable Computing
- Softcover
- New
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New
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1st edition NO-PA16APR2015-KAP.
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- Title
- The Natural Language for Artificial Intelligence (Cognitive Data Science in Sustainable Computing)
- Author
- Motta Monte-Serrat, Dioneia; Cattani PhD, Carlo
- Publisher
- Academic Press
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128241187
- ISBN 13
- 9780128241189
- Series
- Book 2 of 10: Cognitive Data Science in Sustainable Computing
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.
- Presents a comprehensive approach to natural language and its inherent and complex dynamics
- Develops language content as the next frontier, identifying the universal structure of language as a common structure that appears in both AI and cognitive computing
- Explains the standard structure present in cognition and AI, making them interchangeable
- Offers examples of the application of the universal language model in image analysis and conventional language
"Synopsis" may belong to another edition of this title.
About the Author
Carlo Cattani is a Professor of Mathematical Physics whose research spans applied mathematics, wavelet theory, nonlinear systems, multiscale analysis, and fractional calculus. His work focuses on the development of mathematical and computational methods for modeling complex phenomena in physics, engineering, biomedical systems, and image analysis. He has contributed to the advancement of multiscale and fractal-based approaches and their integration with modern data-driven methodologies. His research interests include mathematical modeling, signal and image processing, inverse problems, and interdisciplinary applications of applied mathematics. Professor Cattani has authored over 300 scholarly publications and several research monographs in applied mathematics and related fields. He is actively involved in international research collaborations that connect mathematical theory with practical challenges in science, engineering, and healthcare applications.
"About the title" may belong to another edition of this title.
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