Applications Development Using a Hybrid Artificial Intelligence Development System

Authors

  • John C. Kunz
  • Thomas P. Kehler
  • Michael D. Williams

DOI:

https://doi.org/10.1609/aimag.v5i3.447

Abstract

This article describes our initial experience with building applications programs in a hybrid AI tool environment. Traditional AI systems developments have emphasized a single methodology, such as frames, rules or logic programming, as a methodology that is natural, efficient, and uniform. The applications we have developed suggest that natural-ness, efficiency and flexibility are all increased by trading uniformity for the power that is provided by a small set of appropriate programming and representation tools. The tools we use are based on five major AI methodologies: frame-based knowledge representation with inheritance, rule-based reasoning, LISP, interactive graphics, and active values. Object-oriented computing provides a principle for unifying these different methodologies within a single system.

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Published

1984-09-15

How to Cite

Kunz, J. C., Kehler, T. P., & Williams, M. D. (1984). Applications Development Using a Hybrid Artificial Intelligence Development System. AI Magazine, 5(3), 41. https://doi.org/10.1609/aimag.v5i3.447

Issue

Section

Articles