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AI for understanding context

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI for understanding context/ by Yair Neuman.
Author:	Neuman, Yair.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xi, 117 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Human behavior models. -
Online resource:	https://doi.org/10.1007/978-3-031-64210-4
ISBN:	9783031642104

AI for understanding context
Neuman, Yair.

AI for understanding context[electronic resource] /by Yair Neuman. - Cham :Springer Nature Switzerland :2024. - xi, 117 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

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.

ISBN: 9783031642104

Standard No.: 10.1007/978-3-031-64210-4doiSubjects--Topical Terms:

2145091
Human behavior models.

LC Class. No.: BF39.3 / .N486 2024

Dewey Class. No.: 150.28563

AI for understanding context
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505 0 $a 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.
520 $a 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.
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650 0 $a Context effects (Psychology) $3 543833
650 0 $a Artificial intelligence. $3 516317
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650 2 4 $a Computational Linguistics. $3 893900
650 2 4 $a Digital Humanities. $3 3134775
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
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