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Proceedings Paper

Planning representation for automated exploratory data analysis
Author(s): Robert St. Amant; Paul R. Cohen
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Paper Abstract

Igor is a knowledge-based system for exploratory statistical analysis of complex systems and environments. Igor has two related goals: to help automate the search for interesting patterns in data sets, and to help develop models that capture significant relationships in the data. We outline a language for Igor, based on techniques of opportunistic planning, which balances control and opportunism. We describe the application of Igor to the analysis of the behavior of Phoenix, an artificial intelligence planning system.

Paper Details

Date Published: 1 March 1994
PDF: 9 pages
Proc. SPIE 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, (1 March 1994); doi: 10.1117/12.169406
Show Author Affiliations
Robert St. Amant, Univ. of Massachusetts/Amherst (United States)
Paul R. Cohen, Univ. of Massachusetts/Amherst (United States)

Published in SPIE Proceedings Vol. 2244:
Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry
Wray Buntine; Doug H. Fisher, Editor(s)

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