A pragmatic uncertainty measure based on rate-distorion theory and the uncertainty of BOE's
We discuss pragmatic information measures (hypergraph entropy and fractional entropy) inspired by source-coding theory (rate-distortion theory). We re-phrase the problem in the language of evidence theory, by expressing the pragmatic requirements of the human agent in terms of suitable bodies of evi...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 1996 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2099/2629 |
| Acceso en línea: | https://hdl.handle.net/2099/2629 |
| Access Level: | acceso abierto |
| Palabra clave: | Information measures Uncertaninty management Evidence theory Hypergraph entropy Fractional entropy Informació -- Mesurament -- Models matemàtics Entropia (Teoria de la informació) Classificació AMS::94 Information And Communication, Circuits::94A Communication, information |
| Sumario: | We discuss pragmatic information measures (hypergraph entropy and fractional entropy) inspired by source-coding theory (rate-distortion theory). We re-phrase the problem in the language of evidence theory, by expressing the pragmatic requirements of the human agent in terms of suitable bodies of evidence, or BOE's. We tackle the situation when the overall uncertainty is removed in two steps. In the case when fractional entropy measures the first-step (partial, pragmatic) uncertainty, we put forward an information measure for the uncertainty left in the second step. The results found plead in favour of uncertainty measures for BOE's obtained by maximization of Shannon entropies. |
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