A Computational Study of Distributed Rule Learning

Riyaz Sikora, Michael J. Shaw

Research output: Contribution to journalArticlepeer-review


This report is concerned with a rule learning system called the Distributed Learning System (DLS). Its objective is two-fold: First, as the main contribution, the DLS as a rule-learning technique is described and the resulting computational performance is presented, with definitive computational benefits clearly demonstrated to show the efficacy of using the DLS. Second, the important parameters of the DLS are identified to show the characteristics of the Group Problem Solving (GPS) strategy as implemented in the DLS. On one hand this helps us pinpoint the critical designs of the DLS for effective rule learning; on the other hand this analysis can provide insight into the use of GPS as a more general rule-learning strategy.

Original languageEnglish (US)
Pages (from-to)189-197
Number of pages9
JournalInformation Systems Research
Issue number2
StatePublished - Jun 1996


  • Genetic algorithms
  • Group learning
  • Group problem solving
  • Hybrid learning system

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Library and Information Sciences


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