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Autor(en): 
  • Janos J. Sarbo
  • Inevitable Knowledge 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2024  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / category theory / Human-like Processing / Information Processing / Intelligence Augmentation / Interpretation / Knowledge based Systems / knowledge representation
    ISBN:  9783031734601 
    EAN-Code: 
    9783031734601 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  133 
    Illustration:  XI, 133 p. 44 illus., 12 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The 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.

      



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