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OverviewThe Holy Grail of AI is artificial generative intelligence, a computer that can think human-like. However, human thinking is qualitatively more complex than computer calculations. So, the ultimate goal of AI cannot be achieved. Not quite. This book shows that a model of human-like, meaningful processing can be introduced based on a theory of cognition (how human processing can be abstracted in a series of events), semiotics (what signs are and what kind of distinctions can be communicated by signs), and computer science (how all this can be realized as a procedure). The emerging model offers a solution to the problem of artificial intelligence, not by itself, but in collaboration with the human agent by augmenting its intelligence. But there is more to it than that. Because of the fundamental nature of signs, the semiotic concept of meaning can be transformative for AI research. The book comprehensively covers several applications, including language processing, analyzing integrative negation processes, and solving mathematical problems. It delves into the intricate characteristics of the meaningful processing problem and the fascinating journey that led to its solution. The book provides insight into the historical background of the problem and the solution, enriching the reader’s understanding and engagement. The text is self-contained. All necessary technical terms are explained. Full Product DetailsAuthor: Janos J. SarboPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG ISBN: 9783031734601ISBN 10: 3031734602 Pages: 149 Publication Date: 17 November 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsReviewsAuthor InformationJanos J. Sarbo works at the Institute for Computing and Information Systems (ICIS), Radboud University (Nijmegen, NL). His research focuses on knowledge representation based on a theory of cognition and a Peircean theory of signs. In the past, he did research in various fields of computer science, including compiler construction, natural language parsing, and formal conceptual analysis. He is one of the authors of the book “Knowledge in Formation - A Computational Theory of Interpretation” (Springer, 2011). Tab Content 6Author Website:Countries AvailableAll regions |
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