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Dioneia; assistant professor at the University of Ribeirao Preto, UNAERP, Brazil) Motta Monte-Serrat,Carloof Mathematical Physics and Applied Mathematics at the Engineering Schoolof Tuscia University, Italy) Cattani

Natural Language for Artificial Intelligence

Natural Language for Artificial Intelligence

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  • More about Natural Language for Artificial Intelligence

The Natural Language for Artificial Intelligence explains the biological and logical structure of human language and how it functions in the dynamic process of human cognition. It outlines an approach to artificial intelligence that works with a more restricted concept of natural language, leading to flaws and ambiguities. The book also reveals the characteristics of natural language and patterns of how it behaves in different branches of science to improve the development of AI in specific fields. A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI.

Format: Paperback / softback
Length: 252 pages
Publication date: 06 April 2021
Publisher: Elsevier Science Publishing Co Inc

The Natural Language for Artificial Intelligence delves into the intricate interplay between biology and logic, unveiling the biological and logical structure inherent in human language. This comprehensive book explores the dynamic process through which language mediates between reality and the human mind, shaping the formation of meaning. It provides a profound understanding of linguistic functioning within the dynamic realm of human cognition.

Following this, the text presents an approach to artificial intelligence (AI), which operates with a more constrained notion of natural language, resulting in limitations and ambiguities. Subsequently, the book uncovers the distinctive features of natural language and its behavior across various scientific domains, offering insights into how AI can be enhanced in specific scientific fields. Additionally, a concise description of the universal structure of language is presented as an algorithmic model to guide the development of AI.

Since AI seeks to emulate the workings of the human mind, the book demonstrates how the cross-fertilization between natural language and AI should occur, leveraging the logical-axiomatic structure of natural language adapted to the logical-mathematical processes of the machine. This approach ensures that AI can accurately replicate the complex cognitive processes of human language, paving the way for more intuitive and human-like interactions between machines and humans.

Weight: 414g
Dimension: 153 x 229 x 16 (mm)
ISBN-13: 9780128241189

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