Tracking probabilistic truths: a logic for statistical learning.
We propose a new model for forming and revising beliefs about unknown probabilities. To go beyond what is known with certainty and represent the agent's beliefs about probability, we consider a plausibility map, associating to each possible distribution a plausibility ranking. Beliefs are defined as...
| Publicado en: | Synthese Vol. 199; no. 3/4; pp. 9041 - 9088 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Dec2021
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |