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| 008 | 220131s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030956912 | ||
| 024 | 7 |
_a10.1007/978-3-030-95691-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA274.2-.28 _b2022 EB |
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| 050 | 4 |
_aHD61 _b2022 EB |
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| 100 | 1 |
_aArtikis, Panagiotis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683362 |
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| 245 | 1 | 0 |
_aRandom Contractions in Global Risk Governance _cby Panagiotis T. Artikis, Constantinos T. Artikis |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (X, 285 páginas) _b1 ilustración |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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_aLearning and Analytics in Intelligent Systems _x2662-3455 _v27 |
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| 505 | 0 | _aChapter 1: Stochastic Concepts in Global Risk Governance Operations -- Chapter 2: Formulation of a Stochastic Model -- Chapter 3: Random Contraction Representation for a Stochastic Model -- Chapter 4: Interpretation of a Stochastic Model in Global Risk Governance. | |
| 520 | _aThis book contributes to the area of ongoing global risks and the area of forthcoming global risks, particularly necessary for the implementation of very important interdisciplinary research activities. Global risks are defined in this study as having a global geographical scope, an inter-industrial presence, and exceptionally critical stages of economic and social participation that necessitate a major multi-stakeholder input. In addition, global risks demand an extremely extensive priority in decision-making allowance. The theoretical and practical results of this work are strongly connected to several quite useful factors. The present work mainly concentrates on the contribution of probability theory in the advancement of the practical applicability of global risk governance. More precisely, the work introduces structural stochastic concepts and fundamental stochastic results for the formulation of stochastic models of various global risk governance operations particularly valuable in proactive treatment of several groups of global risks. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9673359 _aAnálisis estocástico |
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| 650 | 7 |
_2embne _9154176 _aEvaluación del riesgo |
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| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
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| 700 | 1 |
_aArtikis, Constantinos _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683363 |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030956905 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030956929 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030956936 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95691-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
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| 998 |
_b04/2022 _dz _esc _zSI |
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