A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems.
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems.
One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
By:
Marjorie McShane, Sergei Nirenburg Imprint: MIT Press Country of Publication: United States Dimensions:
Height: 229mm,
Width: 178mm,
Weight: 567g ISBN:9780262045582 ISBN 10: 0262045583 Pages: 464 Publication Date:02 March 2021 Audience:
General/trade
,
ELT Advanced
Format:Hardback Publisher's Status: Active
Marjorie McShane and Sergei Nirenburg are on the faculty of the Cognitive Science Department at Rensselaer Polytechnic Institute.