UID:
almahu_9949931029202882
Format:
XI, 117 p. 4 illus.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031642104
Series Statement:
SpringerBriefs in Computer Science,
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031642098
Additional Edition:
Printed edition: ISBN 9783031642111
Language:
English
DOI:
10.1007/978-3-031-64210-4
URL:
https://doi.org/10.1007/978-3-031-64210-4
Bookmarklink
