KNET: Integrating Hypermedia and Bayesian Modeling
  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 heterogeneous bits of information in dynamic,
extensively cross-referenced packages. The resulting KNET system features a
coherent probabilistic scheme for managing uncertainty, an objectoriented
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.
