Cirrus: Inducing Subject Models from Protocol Data

Abstract

Cirrus is a system for aiding the analysis of protocol data. It assumes that subjects are following a non-deterministic procedure or plan, which is specified for it by the user. It uses machine learning techniques to find a deterministic version of the given procedure that maximizes the fit between the procedure's actions and the subject's actions, as recorded in the protocol given to Cirrus for analysis. This paper describes the theory of problem solving that Cirrus is based on, the current implementation, its analysis of several protocols, and our plans for future improvements. (kt)

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Document Details

Document Type
Technical Report
Publication Date
Aug 16, 1988
Accession Number
ADA219148

Entities

People

  • Bernadette Kowalski
  • Kurt VanLehn

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Classification
  • Cognitive Science
  • Computer Science
  • Computers
  • Data Analysis
  • Equations
  • Language
  • Learning
  • Machine Learning
  • Psychology
  • Standards
  • Students
  • United States
  • Universities
  • Vocabulary

Fields of Study

  • Computer science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Systems Analysis and Design

Technology Areas

  • AI & ML