Author(s) Name: Dioneia Motta Monte-Serrat, Carlo Cattani
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.
Table of Contents
1. Introduction
2. Connecting different levels of language reality
3. The natural intelligence
4. Artificial intelligence
5. Computer language and linguistics
6. The structure of language and its axiomatic-logical nature
7. Maintaining a “questing eye” at the natural language synchronization function to improve artificial intelligence
8. Natural language and its universal structure
9. Interdisciplinary paths for the construction of meaning: What natural language has to say for artificial intelligence?
10. The natural language for artificial intelligence
11. Conclusion
ISBN: 9780128241189
Publisher: Elsevier
Year of Publication: 2021
Book Link: Home Page Url
