The Natural Language for Artificial Intelligence

Description

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