PLY: A System of Plausibility Inference with a Probabilistic Basis,
Abstract
An overview is given of a system of plausibility inference that will be developed for use in planning. This system, to be called PLY, will be specifically designed to work with propositions of the form when A is true (occurs), B is likely to be true (to occur) . Previous systems performing similar functions have been designed as aids for such tasks as medical diagnosis (MYCIN and others) and mineral prospecting (PROSPECTOR). PLY will have a probabilistic basis. Intuitive assumptions to deal with knowledge not explicitly given to the system will be made with the aid of an information-theoretic measure on the amount of information in a probability distribution. Unlike many other systems, PLY will not use these assumptions when the given knowledge indicates they are not tenable. In addition to standard probabilities, PLY will be able to make use of knowledge (information) in the form of the correlations and increased/decreased likelihoods, which most people find easier to estimate than probabilities. PLY's knowledge will be in an organized and structured form, which will help in knowledge acquisition and revision, facilitate system explanations, and lower the storage requirements of the system. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1982
- Accession Number
- ADA132537
Entities
People
- Alexander Yeh
Organizations
- Massachusetts Institute of Technology