KNET: Integrating Hypertext and Normative Bayesian Modeling

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Citation: R. Martin Chavez and Gregory F. Cooper. (1988) KNET: Integrating Hypertext and Normative Bayesian Modeling. In KSL-88-47, 1988.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author R. Martin Chavez and Gregory F. Cooper
title KNET: Integrating Hypertext and Normative Bayesian Modeling
number KSL-88-47
institution Knowledge Systems, AI Laboratory
year 1988
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abstract KNET is a general-purpose shell for constructing expert systems based on belief networks and decision networks. Such networks serve as graphical representations for decision models, in which the knowledge engineer must define clearly the alternatives, states, preferences, and relationships that constitute a decision basis. KNET contains a knowledge-engineering core written in Object Pascal and an interface that tightly integrates HyperCard, a hypertext authoring tool for the Apple Macintosh computer, into a novel expert system architecture. Hypertext and hypermedia have become increasingly important in the storage, management, and retrieval of information. In broad terms, hypermedia deliver extensively cross-referenced packages. The resulting KNET system features a coherent probabilistic scheme for managing uncertainty, an object oriented graphics editor for drawing and manipulating decision networks, and HyperCard's potential for quickly constructing flexible and friendly user interfaces. We envision KNET as a useful prototyping tool for our ongoing research on a variety of Bayesian reasoning problems, including tractable representation, inference, and explanation.

KSL Technical Report ID: KSL-88-47
Facts about KNET: Integrating Hypertext and Normative Bayesian ModelingRDF feed
Abstract KNET is a general-purpose shell for constr … KNET is a general-purpose shell for constructing expert systems based on belief networks and decision networks. Such networks serve as graphical representations for decision models, in which the knowledge engineer must define clearly the alternatives, states, preferences, and relationships that constitute a decision basis. KNET contains a knowledge-engineering core written in Object Pascal and an interface that tightly integrates HyperCard, a hypertext authoring tool for the Apple Macintosh computer, into a novel expert system architecture. Hypertext and hypermedia have become increasingly important in the storage, management, and retrieval of information. In broad terms, hypermedia deliver extensively cross-referenced packages. The resulting KNET system features a coherent probabilistic scheme for managing uncertainty, an object oriented graphics editor for drawing and manipulating decision networks, and HyperCard's potential for quickly constructing flexible and friendly user interfaces. We envision KNET as a useful prototyping tool for our ongoing research on a variety of Bayesian reasoning problems, including tractable representation, inference, and explanation. epresentation, inference, and explanation.
Author R. Martin Chavez and Gregory F. Cooper  +
Bibtype techreport  +
Has author R. Martin Chavez and Gregory F. Cooper  +
Has identifier KSL-88-47  +
Has publishing details 1988  +
Has title KNET: Integrating Hypertext and Normative Bayesian Modeling  +
Has where published KSL-88-47  +
Has year 1988  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-88-47  +
Number KSL-88-47  +
Process note YES  +
Title KNET: Integrating Hypertext and Normative Bayesian Modeling  +
Year 1988  +
Retrieved from "http://tw.rpi.edu/wiki/KNET:_Integrating_Hypertext_and_Normative_Bayesian_Modeling"
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