Front Matter
Copyright
Authors' biography
Acknowledgment
Presentation
Introduction
References
Connecting different levels of language reality
Introduction
Argumentation
Perelmans argumentative techniques
Perelmans liasons of coexistence
References
The natural intelligence
Introduction
What natural intelligence is and how it might be assessed?
Principles underlying human intelligence
Language concept given by Voloshinov
The phenomenon of bodily globality described by Wallon
Lacan and the cognitive structuring in stages
Conclusion
Natural intelligence
Natural intelligence determined by the biological constitution of the individual
Natural intelligence setting alternatives for complementary aspects to emerge in consciousness: The axiomatic-logica ...
The cognitive system
Mental representation
Language axes and cognitive operation
Stimuli integrating sensations in natural intelligence
Cognitive computing and decision-making: How the logical characteristics of language structure interfere with the ...
References
Artificial intelligence
Introduction
Artificial intelligence being modeled by the natural intelligence
Deep learning
Language information given to computational models
The key principle for artificial intelligence
References
Computer language and linguistics
Introduction
Computer language
Computer logic
Generative model in machine learning
Introduction to linguistics
Ferdinand de Saussure and the foundations of linguistic science
Recurring effects of structuralism
Mechanization attempts: The search for a criterion that leads to the universalism of language
Language is a form, not a substance
What is language according to Roman Jakobson
What is language in the discursive theory
Introduction
The importance of context for language
Language under discourse analysis theory
Conclusion
References
The structure of language and its axiomatic-logical nature
Introduction
The science of linguistics
The new concept for natural language
Parameters influencing the whole language process
The logical and the biological fronts of language
The universal structure of language
Time and language
References
Maintaining a questing eye´´ at the natural language synchronization function to improve artificial intelligence
The axiomatic-logical structure of natural language
The mechanistic theory of language revealing the intelligent sequence of sensing and moving to a mental representati ...Pure observation´´ of natural languages principle of periodicity
Organization and periodicity
References
Natural language and its universal structure
Introduction
Language is a central axiomatic-logical mechanism
Language synchronizes the functioning of the brain
Language is in all closed human neural architecture linked to blood flow
Language runs through several interdependent connection systems
Language performs interpretation/mediation between real, symbolic, and imaginary kingdoms
Language has the ability of overlapping the functioning of reading, speaking, and writing
Language is working as a central mechanical process that interconnects/calculates movements, images, behavior, decis ...
Language to finally compose a phenomenon that is perceived by the human being as an abstraction or a representation
Natural language and artificial intelligence: Symbolization process and resources
References
Interdisciplinary paths for the construction of meaning: What natural language has to say for artificial intel ...
Introduction
Social sciences
Law
Literature
Psychology and psychoanalysis
Linguistics
Natural sciences
Formal sciences
New frontiers for the natural code of the brain
Understanding natural language as a threefold phenomenon
Relations and functions having different meaning mathematically and different roles in language
The natural language related to fractal theory
Conclusion
References
The natural language for artificial intelligence
Introduction
Knowing the structure of natural language
Recognizing that a certain meaning and function come from a relationship
Applying the representation property of natural language in AI: Value is constituted only by relations and differences
Representation property application on convolutional neural networks
Representation property application on natural language inference
Suggestions for the universal language algorithm
Introduction
Comments on the universal language algorithm
Elements of the universal language algorithm
References
Further reading
Conclusion
References
Index