The principles of maximum entropy and of minimum cross-entropy (ME-principles) provide an elegant and reasonable tool to represent quantified uncertainties within a probabilistic framework. The results the application of these principles yield are not only well behaved in a statistical sense but pro
Conditional logic and the Principle of Entropy
✍ Scribed by Wilhelm Rödder
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 175 KB
- Volume
- 117
- Category
- Article
- ISSN
- 0004-3702
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✦ Synopsis
The conditional three-valued logic of Calabrese is applied to the language L * of conditionals on propositional variables with finite domain. The conditionals in L * serve as a means for the construction and manipulation of probability distributions respecting the Principle of Maximum Entropy and of Minimum Relative Entropy. This principle allows a sound inference even in the presence of uncertain evidence. The inference is directed, it respects a probabilistic version of Modus Ponens-not of Modus Tollens-, it permits transitive chaining and supports a cautious monotony. Conjunctive, conditional and material deduction are manageable in this probabilistic logic, too. The concept is not merely theoretical, but enables large-scale applications in the expert system-shell SPIRIT.
📜 SIMILAR VOLUMES
The Maximum Entropy Principle (MEP) maximises the entropy subject to the constraint that the effort remains constant. The Principle of Least Effort (PLE) minimises the effort subject to the constraint that the entropy remains constant. The paper investigates the relation between these two principles