A planning representation for automated exploratory data analysis

Robert St Amant, Paul R. Cohen

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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 the analysis of the behavior of Phoenix, an artificial intelligence planning system.

Original languageEnglish (US)
Pages (from-to)44-52
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Mar 1 1994
Externally publishedYes
EventKnowledge-Based Artificial Intelligence Systems in Aerospace and Industry 1994 - Orlando, United States
Duration: Apr 4 1994Apr 8 1994

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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