Generalized measures of information, Bayes' likelihood ratio and Jaynes' formalism
- 1 January 1975
- journal article
- research article
- Published by SAGE Publications in Environment and Planning B: Planning and Design
- Vol. 2 (1) , 99-105
- https://doi.org/10.1068/b020099
Abstract
This paper relates generalized measures of information to expected likelihood functions (ELFs) derived from Bayes' equation. It then demonstrates that Jaynes' formalism may be extended to formulate a class of minimally-prejudiced models of which those derived from Shannon's measure are but a limiting and special case. The rôle of probable inference and of information-minimizing models in design is commented on.Keywords
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