Fundamental Problems in Applying Models and Predictive Mechanisms,
Abstract
Fundamental problems relating to representing reality in a model and inductive inference of conclusions from model results are presented and include correspondence of entities in theoretical and applied models, definition of fair sample, completeness, failure of nerve and imagination, and dependence of scientific belief and proper induction on scientific culture. A formal method for detecting potential variability of scientific belief is developed based on Bayes' Theorem. The appendix lists some rountine problems of model application. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1971
- Accession Number
- AD0734166
Entities
People
- Peter K. Luster