AI for Understanding Context

Context is necessary for understanding human behavior. However, so far, the concept of context has mostly been treated in a way that lacks any clear relevance for using, developing and engineering intelligent systems. In this book, the author explains the importance of context for understanding human behavior, presents a theory of context, and shows how AI, specifically Large Language Models such as GPT, can support our understanding of context when analyzing human behavior as expressed in texts ranging from conversations to short stories.
Drawing on years of R&D and academic publications in top rated journals, the author provides the reader with a simple and deep understanding of context and its modeling for specific challenges, from identifying social norm violations to understanding conversations going awry and stories by great authors. The book may interest a wide variety of readers seeking to incorporate AI into their understanding of human behavior.

Über den Autor / die Autorin

Prof. Yair Neuman is a polymath drawing on diverse disciplines to address various challenges. He published numerous papers and academic books and was a visiting Prof. at M.I.T., University of Toronto, University of Oxford, and Weizmann Institute of Science. His books include Mathematical Structures of Natural Intelligence (Springer) and Conceptual Mathematics and Literature (Brill).

Produktdetails

• Autoren: Yair Neuman
• Verlag: Springer, Berlin
• Inhalt: Buch
• Produktform: Taschenbuch
• Erscheinungsdatum: 12.08.2024
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik
• EAN: 9783031642098
• ISBN: 978-3-0-3164209-8
• Anzahl Seiten: 117
• Illustration: XI, 117 p. 4 illus.
• Abmessung (Verpackung): 15.5 x 0.7 x 23.5 cm
• Gewicht (Verpackung): 213 g
• Serie: SpringerBriefs in Computer Science
• Themen: Artificial Intelligence, Natürliche Sprachen und maschinelle Übersetzung, Computerlinguistik und Korpuslinguistik, Computer-Anwendungen in Kunst und Geisteswissenschaften, Mathematische Modellierung, Digital Humanities, Deep Neural Networks, Augmented Intelligence, Computational Linguistics, Natural Language Processing (NLP), ChatGPT, Large Language Models, Prompting, Computational Content Analysis, AI for Social Norms, Computational Psychology, Probabilistic Guessing Machines, Contextual Machines, Contextual Analysis, AI for Context