The Natural Language for Artificial Intelligence

1st Edition - March 28, 2021
Imprint: Academic Press
Authors: Dioneia Motta Monte-Serrat, Carlo Cattani
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 4 1 1 8 - 9
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 9 2 1 - 9

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 h… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Authors' biography
Acknowledgment
Presentation
Chapter 1: Introduction
Abstract
Chapter 2: Connecting different levels of language reality
Abstract
2.1: Introduction
2.2: Argumentation
2.3: Perelman’s argumentative techniques
2.4: Perelman’s liasons of coexistence
Chapter 3: The natural intelligence
Abstract
3.1: Introduction
3.2: What natural intelligence is and how it might be assessed?
3.3: Principles underlying human intelligence
3.4: Natural intelligence
3.5: Natural intelligence determined by the biological constitution of the individual
3.6: Natural intelligence setting alternatives for complementary aspects to emerge in consciousness: The axiomatic-logical structure functioning
Chapter 4: Artificial intelligence
Abstract
4.1: Introduction
4.2: Artificial intelligence being modeled by the natural intelligence
4.3: Deep learning
4.4: Language information given to computational models
4.5: The key principle for artificial intelligence
Chapter 5: Computer language and linguistics
Abstract
5.1: Introduction
5.2: Computer language
5.3: Computer logic
5.4: Generative model in machine learning
5.5: Introduction to linguistics
Chapter 6: The structure of language and its axiomatic-logical nature
Abstract
6.1: Introduction
6.2: The science of linguistics
6.3: The new concept for natural language
6.4: The universal structure of language
6.5: Time and language
Chapter 7: Maintaining a “questing eye” at the natural language synchronization function to improve artificial intelligence
Abstract
7.1: The axiomatic-logical structure of natural language
7.2: The mechanistic theory of language revealing the intelligent sequence of sensing and moving to a mental representation: The intelligence is putting the sequence
7.3: “Pure observation” of natural language’s principle of periodicity
Chapter 8: Natural language and its universal structure
Abstract
8.1: Introduction
8.2: Language is a central axiomatic-logical mechanism
8.3: Language synchronizes the functioning of the brain
8.4: Language is in all closed human neural architecture linked to blood flow
8.5: Language runs through several interdependent connection systems
8.6: Language performs interpretation/mediation between real, symbolic, and imaginary kingdoms
8.7: Language has the ability of overlapping the functioning of reading, speaking, and writing
8.8: Language is working as a central mechanical process that interconnects/calculates movements, images, behavior, decisions, uniting these varied and simultaneous functions
8.9: Language to finally compose a phenomenon that is perceived by the human being as an abstraction or a representation
8.10: Natural language and artificial intelligence: Symbolization process and resources
Chapter 9: Interdisciplinary paths for the construction of meaning: What natural language has to say for artificial intelligence?
Abstract
9.1: Introduction
9.2: Social sciences
9.3: Natural sciences
9.4: Formal sciences
9.5: Conclusion
Chapter 10: The natural language for artificial intelligence
Abstract
10.1: Introduction
10.2: Knowing the structure of natural language
10.3: Recognizing that a certain meaning and function come from a relationship
10.4: Applying the representation property of natural language in AI: Value is constituted only by relations and differences
10.5: Suggestions for the universal language algorithm
Chapter 11: Conclusion
Abstract
Index

Dioneia Motta Monte-Serrat

Dionéia Motta Monte-Serrat is a Post-doctoral Researcher at the Department of Computation and Mathematics of Faculty of Philosophy, Sciences and Letters of Ribeirao Preto – University of Sao Paulo, FFCLRP-USP, Brazil; Collaborating researcher at Language Institute of University of Campinas, IEL-UNICAMP, Brazil. Faculty Member at University of Ribeirao Preto, UNAERP, Brazil. Direct Doctoral degree in Psychology, FFCLRP-USP, Brazil. Doctoral degree program partly completed at Université Paris III, Sorbonne Nouvelle (2010, CAPES-BEX). Internship at École des Hautes Études en Sciences Sociales, Paris (2012, FAPESP). Undergraduate degrees in Languages and Law. Member of the British Wittgenstein Society. Associate Researcher, National Science Network for Education (Rede CpE, Brazil). Research interest: Neuroscience; Neurolinguistics; Neurocognition; Brain Impairment; Artificial Intelligence; Neurophysiology; Natural Language, Education, Social inclusion.

Affiliations and expertise

Postdoctoral researcher in the Department of Computing and Mathematics, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo (FFCLRP-USP); assistant professor at the University of Ribeirão Preto, UNAERP, Brazil

Carlo Cattani

Dr. Carlo Cattani is Full Professor of Mathematical Physics and Applied Mathematics at the Department of Economics, Engineering, Society and Enterprise (DEIM) at Università degli Studi della Tuscia, Viterbo, Italy. He has been previously appointed as Professor and Research Fellow at the Department of Mathematics, University of Rome La Sapienza, and Department of Mathematics, University of Salerno. Dr. Cattani has been a Research Fellow at the Italian Council of Research (CNR) and Visiting Research Fellow at the Physics Institute of Stockholm University. His main scientific research interests are focused on numerical and computational methods, mathematical models and methods, time series and data analysis, computer methods and simulations. Dr. Cattani is co-author of several books, including The Natural Language for Artificial Intelligence, Elsevier Academic Press; Wavelet and Wave Analysis as Applied to Materials with Micro or Nanostructure, World Scientific Publishing; Fractional Dynamics, De Gruyter; Computational Methods for Data Analysis, De Gruyter; Fractal Analysis: Basic Concepts and Applications, World Scientific Publishing; Symmetry and Complexity, Mdpi AG; and Advances in Mathematical Modelling: Applied Analysis and Computation, Springer. He has made significant contributions to scientific and mathematical research on fundamental topics such as numerical methods, dynamical systems, fractional calculus, fractals, wavelets, nonlinear waves, and data analysis. Dr. Cattani is Editor in Chief of the journals Fractal and Fractional and Information Sciences Letters.

Affiliations and expertise

Professor (habil. full professor) of Mathematical Physics and Applied Mathematics at the Engineering School (DEIM) of Tuscia University (VT), Italy

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health