NDLI: A New Frontier in Computation-Computation with Information Described in Natural Language

Content Provider	IEEE Xplore Digital Library
Author	Zadeh, L.A.
Copyright Year	2007
Description	Author affiliation: Univ. of California, Berkeley (Zadeh, L.A.)
Abstract	Computation with information described in natural language is closely related to Computing with Words. NL-Computation is of intrinsic importance because much of human knowledge is described in natural language. This is particularly true in such fields as economics, data mining, systems engineering, risk assessment and emergency management. It is safe to predict that as we move further into the age of machine intelligence and mechanized decision-making, NL-Computation will grow in visibility and importance. Our approach to NL-Computation centers on what is referred to as generalized-constraint-based computation, or GC-Computation for short. A fundamental thesis which underlies NL-Computation is that information may be interpreted as a generalized constraint. A generalized constraint is expressed as X isr R, where X is the constrained variable, R is a constraining relation and r is an indexical variable which defines the way in which R constrains X. The principal constraints are possibilistic, veristic, probabilistic, usuality, random set, fuzzy graph and group. Generalized constraints may be combined, qualified, propagated, and counter propagated, generating what is called the Generalized Constraint Language, GCL. The key underlying idea is that information conveyed by a proposition may be represented as a generalized constraint, that is, as an element of GCL.
Starting Page	1
Ending Page	2
File Size	1070534
Page Count	2
File Format	PDF
ISBN	9781424408290
DOI	10.1109/WISP.2007.4447531
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-03
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Engineering management Natural languages Humans Disaster management Economic forecasting Data engineering Systems engineering and theory Risk management Data mining Machine intelligence
Content Type	Text
Resource Type	Article

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