The PESKI Intelligent User Interface.
Author(s) -
Robert A. Harrington,
Sheila B. Banks,
Eugene Santos,
Jr
Publication year - 1996
Language(s) - English
Resource type - Reports
DOI - 10.21236/ada324223
Subject(s) - computer science , expert system , interface (matter) , domain (mathematical analysis) , user interface , bayesian network , human–computer interaction , independence (probability theory) , subject matter expert , legal expert system , architecture , artificial intelligence , programming language , operating system , mathematics , bubble , maximum bubble pressure method , art , mathematical analysis , statistics , visual arts
: Generic expert systems are reasoning systems that can be used in many application domains, thus requiring application domain independence. The user interface for a generic expert system must contain an intelligence in order to maintain this domain independence and manage the complex interactions between the user and generic expert system. This paper explores the uncertainty-based reasoning contained in an intelligent user interface called GESIA. GESIA's interface architecture and dynamically constructed Bayesian network are examined in detail to show how uncertainty-based reasoning enhances the capabilities of this generic expert system user interface.
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