Wikipedia

Morphological box

Morphological analysis was designed for multi-dimensional, non-quantifiable problems where causal modeling and simulation do not function well or at all. Fritz Zwicky developed this approach to seemingly non-reducible complexity (Zwicky, 1966, 1969). Using the technique of cross consistency assessment (CCA) (Ritchey, 2002), the system however does allow for reduction, not by reducing the number of variables involved, but by reducing the number of possible solutions through the elimination of the illogical solution combinations in a grid box.

References in fiction

Robert A. Heinlein has his characters use a "Zwicky box" in Time Enough for Love, to figure out what's available to break the ennui of his 2000-year-old character.

David Brin used "Zwicky Choice Boxes" in Sundiver as a means to help solve a murder mystery.

References

  • Ritchey, Tom (2002). General Morphological Analysis: A general method for non-quantified modeling.
  • Zwicky, F., Discovery, Invention, Research - Through the Morphological Approach, Toronto: The Macmillan Company (1969).
  • Zwicky, F. & Wilson A. (eds.), New Methods of Thought and Procedure: Contributions to the Symposium on Methodologies. Berlin: Springer (1967).
This article is copied from an article on Wikipedia® - the free encyclopedia created and edited by its online user community. The text was not checked or edited by anyone on our staff. Although the vast majority of Wikipedia® encyclopedia articles provide accurate and timely information, please do not assume the accuracy of any particular article. This article is distributed under the terms of GNU Free Documentation License.

Copyright © 2003-2025 Farlex, Inc Disclaimer
All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only. This information should not be considered complete, up to date, and is not intended to be used in place of a visit, consultation, or advice of a legal, medical, or any other professional.