The Natural Language for Artificial Intelligence

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