An Agenda- and Justification-Based Framework for Discovery Systems

Authors:
R. Livingston;M. Rosenberg;G. Buchanan
Affiliations:
University of Pittsburgh, Computer Science Department, USA and Computer Science Department, University of Pittsburgh, Pittsburgh, PA 15260, USA;University of Pittsburgh, Department of Biological Sciences, USA;University of Pittsburgh, Computer Science Department, USA and Computer Science Department, University of Pittsburgh, Pittsburgh, PA 15260, USA
Venue:
Knowledge and Information Systems
Year:
2003

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Abstract

We propose and evaluate an agenda- and justification-based architecture for discovery systems that selects the next tasks to perform, as well as heuristics for use in discovery systems. This framework has many desirable properties: (1) it selects its own tasks to perform based upon how plausible they are judged to be; (2) it facilitates the encoding of general discovery strategies using a variety of background knowledge; and (3) it tailors its behavior toward a user’s interests. Many experiments with a prototype discovery program called HAMB demonstrate that both reasons and estimates of interestingness contribute to performance in the domains of protein crystallization and patient rehabilitation data. The program’s heuristics provide good initial solutions to problems encountered when implementing fully autonomous discovery systems.