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.
Inhaltsverzeichnis
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.
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