AI for Understanding Context - Neuman, Yair
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
Yair Neuman (b. 1968) is a polymath with expertise in interdisciplinary research where he draws on diverse disciplines to creatively address real-world and academic challenges. He is the head of the Functor Lab, at the Ben-Gurion University. Prof. Neuman has published numerous papers and ten academic books and was a visiting scholar/Prof. at M.I.T., University of Toronto, University of Oxford, and Weizmann Institute of Science. Beyond his purely academic work, he developed state-of-the-art algorithms for social and cognitive computing, such as those he developed for IARPA and currently developing for a DARPA project. His most recent books are: "How Small Social Systems Work: From Soccer Teams to Jazz Trios and Families" (Springer), "How to Find a Needle in a Haystack: From Solo Perpetrators to the Insider Threat" (Chaman & Hall/CRC Press), and "Using AI for Dialoguing with Texts" (Routledge).