03502nam a22005895i 4500 978-3-031-64210-4 DE-He213 20251030114603.0 cr nn 008mamaa 241204s2024 sz | s |||| 0|eng d 9783031642104 978-3-031-64210-4 10.1007/978-3-031-64210-4 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Neuman, Yair. author. aut http://id.loc.gov/vocabulary/relators/aut 71410 AI for Understanding Context [electronic resource] / by Yair Neuman. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 117 p. 4 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Computer Science, 2191-5776 The Importance of Context -- Toward a Theory of Context -- Large Language Models as Contextual Machines -- The One-Hundred Psychological Dimensions of Context -- Conceptualizing Context for Computational Content Analysis -- Reading Chekhov with AI -- Conversations Going Awry -- The Context of Social Norms -- Final Thoughts on 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. Artificial intelligence. 58441 Natural language processing (Computer science). 65131 Computational linguistics. Digital humanities. Neural networks (Computer science) . 64231 Artificial Intelligence. 58441 Natural Language Processing (NLP). 66164 Computational Linguistics. Digital Humanities. Mathematical Models of Cognitive Processes and Neural Networks. 65860 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031642098 Printed edition: 9783031642111 SpringerBriefs in Computer Science, 2191-5776 66578 https://doi.org/10.1007/978-3-031-64210-4 ZDB-2-BSP ZDB-2-SXBP 65486 65486