Probabilistic Analysis of Belief Functions:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2001
|
| Schriftenreihe: | International Federation for Systems Research International Series on Systems Science and Engineering
16 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Inspired by the eternal beauty and truth of the laws governing the run of stars on heavens over his head, and spurred by the idea to catch, perhaps for the smallest fraction of the shortest instant, the Eternity itself, man created such masterpieces of human intellect like the Platon's world of ideas manifesting eternal truths, like the Euclidean geometry, or like the Newtonian celestial mechanics. However, turning his look to the sub-lunar world of our everyday efforts, troubles, sorrows and, from time to time but very, very seldom, also our successes, he saw nothing else than a world full of uncertainty and temporariness. One remedy or rather consolation was that of the deep and sage resignation offered by Socrates: I know, that I know nothing. But, happy or unhappy enough, the temptation to see and to touch at least a very small portion of eternal truth also under these circumstances and behind phenomena charged by uncertainty was too strong. Probability theory in its most simple elementary setting entered the scene. It happened in the same, 17th and 18th centuries, when celestial mechanics with its classical Platonist paradigma achieved its greatest triumphs. The origins of probability theory were inspired by games of chance like roulettes, lotteries, dices, urn schemata, etc. and probability values were simply defined by the ratio of successful or winning results relative to the total number of possible outcomes |
| Beschreibung: | 1 Online-Ressource (XVII, 214 p) |
| ISBN: | 9781461505877 9781461351450 |
| ISSN: | 1574-0463 |
| DOI: | 10.1007/978-1-4615-0587-7 |
Internformat
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| 500 | |a Inspired by the eternal beauty and truth of the laws governing the run of stars on heavens over his head, and spurred by the idea to catch, perhaps for the smallest fraction of the shortest instant, the Eternity itself, man created such masterpieces of human intellect like the Platon's world of ideas manifesting eternal truths, like the Euclidean geometry, or like the Newtonian celestial mechanics. However, turning his look to the sub-lunar world of our everyday efforts, troubles, sorrows and, from time to time but very, very seldom, also our successes, he saw nothing else than a world full of uncertainty and temporariness. One remedy or rather consolation was that of the deep and sage resignation offered by Socrates: I know, that I know nothing. But, happy or unhappy enough, the temptation to see and to touch at least a very small portion of eternal truth also under these circumstances and behind phenomena charged by uncertainty was too strong. Probability theory in its most simple elementary setting entered the scene. It happened in the same, 17th and 18th centuries, when celestial mechanics with its classical Platonist paradigma achieved its greatest triumphs. The origins of probability theory were inspired by games of chance like roulettes, lotteries, dices, urn schemata, etc. and probability values were simply defined by the ratio of successful or winning results relative to the total number of possible outcomes | ||
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Datensatz im Suchindex
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| author | Kramosil, Ivan |
| author_facet | Kramosil, Ivan |
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| ctrlnum | (OCoLC)869860434 (DE-599)BVBBV042420850 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4615-0587-7 |
| format | Electronic eBook |
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| id | DE-604.BV042420850 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:07Z |
| institution | BVB |
| isbn | 9781461505877 9781461351450 |
| issn | 1574-0463 |
| language | English |
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| series | International Federation for Systems Research International Series on Systems Science and Engineering |
| series2 | International Federation for Systems Research International Series on Systems Science and Engineering |
| spelling | Kramosil, Ivan Verfasser aut Probabilistic Analysis of Belief Functions by Ivan Kramosil Boston, MA Springer US 2001 1 Online-Ressource (XVII, 214 p) txt rdacontent c rdamedia cr rdacarrier International Federation for Systems Research International Series on Systems Science and Engineering 16 1574-0463 Inspired by the eternal beauty and truth of the laws governing the run of stars on heavens over his head, and spurred by the idea to catch, perhaps for the smallest fraction of the shortest instant, the Eternity itself, man created such masterpieces of human intellect like the Platon's world of ideas manifesting eternal truths, like the Euclidean geometry, or like the Newtonian celestial mechanics. However, turning his look to the sub-lunar world of our everyday efforts, troubles, sorrows and, from time to time but very, very seldom, also our successes, he saw nothing else than a world full of uncertainty and temporariness. One remedy or rather consolation was that of the deep and sage resignation offered by Socrates: I know, that I know nothing. But, happy or unhappy enough, the temptation to see and to touch at least a very small portion of eternal truth also under these circumstances and behind phenomena charged by uncertainty was too strong. Probability theory in its most simple elementary setting entered the scene. It happened in the same, 17th and 18th centuries, when celestial mechanics with its classical Platonist paradigma achieved its greatest triumphs. The origins of probability theory were inspired by games of chance like roulettes, lotteries, dices, urn schemata, etc. and probability values were simply defined by the ratio of successful or winning results relative to the total number of possible outcomes Mathematics Artificial intelligence Systems theory Distribution (Probability theory) Probability Theory and Stochastic Processes Systems Theory, Control Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik International Federation for Systems Research International Series on Systems Science and Engineering 16 (DE-604)BV000016922 16 https://doi.org/10.1007/978-1-4615-0587-7 Verlag Volltext |
| spellingShingle | Kramosil, Ivan Probabilistic Analysis of Belief Functions International Federation for Systems Research International Series on Systems Science and Engineering Mathematics Artificial intelligence Systems theory Distribution (Probability theory) Probability Theory and Stochastic Processes Systems Theory, Control Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik |
| title | Probabilistic Analysis of Belief Functions |
| title_auth | Probabilistic Analysis of Belief Functions |
| title_exact_search | Probabilistic Analysis of Belief Functions |
| title_full | Probabilistic Analysis of Belief Functions by Ivan Kramosil |
| title_fullStr | Probabilistic Analysis of Belief Functions by Ivan Kramosil |
| title_full_unstemmed | Probabilistic Analysis of Belief Functions by Ivan Kramosil |
| title_short | Probabilistic Analysis of Belief Functions |
| title_sort | probabilistic analysis of belief functions |
| topic | Mathematics Artificial intelligence Systems theory Distribution (Probability theory) Probability Theory and Stochastic Processes Systems Theory, Control Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik |
| topic_facet | Mathematics Artificial intelligence Systems theory Distribution (Probability theory) Probability Theory and Stochastic Processes Systems Theory, Control Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik |
| url | https://doi.org/10.1007/978-1-4615-0587-7 |
| volume_link | (DE-604)BV000016922 |
| work_keys_str_mv | AT kramosilivan probabilisticanalysisofbelieffunctions |