Degradation in probability logic: when more information leads to less precise conclusions
| Autor: | Gernot D. Kleiter, Christian Wallmann |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Deduction theorem
business.industry Probabilistic logic Inference Theoretical Computer Science Modus tollens Bayes' theorem Modus ponendo tollens Constructive dilemma Artificial Intelligence Control and Systems Engineering Artificial intelligence Electrical and Electronic Engineering business Modus ponens Mathematical economics Software Information Systems Mathematics |
| Zdroj: | Kybernetika. :268-283 |
| ISSN: | 1805-949X 0023-5954 |
| DOI: | 10.14736/kyb-2014-2-0268 |
| Popis: | Probability logic studies the properties resulting from the probabilistic interpretation of logical argument forms. Typical examples are probabilistic Modus Ponens and Modus Tollens. Argument forms with two premises usually lead from precise probabilities of the premises to imprecise or interval probabilities of the conclusion. In the contribution, we study generalized inference forms having three or more premises. Recently, Gilio has shown that these generalized forms ``degrade'' -- more premises lead to more imprecise conclusions, i. e., to wider intervals. We distinguish different forms of degradation. We analyse Predictive Inference, Modus Ponens, Bayes' Theorem, and Modus Tollens. Special attention is devoted to the case where the conditioning events have zero probabilities. Finally, we discuss the relation of degradation to monotonicity. |
| Databáze: | OpenAIRE |
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