Generating Predictions to Aid the Scientific Discovery Process.

Abstract

NGLAUBER is a system which models the scientific discovery of qualitative empirical laws. As such, it falls into the category of scientific discovery systems. However, the program can also be viewed as a conceptual clustering system since it forms classes of objects and characterizes these classes. NGLAUBER differs from existing scientific discovery and conceptual clustering systems in a number of ways: It uses an incremental method to group objects into classes these classes are formed based on the relationships between objects rather than just the attributes of objects; the system describes the relationships between classes rather than simply describing the classes; and most importantly, NGLAUBER proposes experiments by predicting future data. The experiments help the system guide itself through the search for regularities in the data. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1986
Accession Number
ADA170883

Entities

People

  • Randy Jones

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • California
  • Classification
  • Clustering
  • Computations
  • Computer Science
  • Computers
  • Contrast
  • Information Science
  • Language
  • Machine Learning
  • Mathematical Logic
  • Military Research
  • Security
  • Universities

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Theoretical Analysis.