| 000 | 03057nam a2200433 i 4500 | ||
|---|---|---|---|
| 999 |
_c386936 _d386936 |
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| 001 | 386936 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230124133930.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2014 sz | o |||| 0|eng d | ||
| 020 | _a9783031015670 | ||
| 024 | 7 |
_a10.1007/978-3-031-01567-0 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ325.5 _b2014 EB |
|
| 100 | 1 |
_aBarták, Roman _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686148 |
|
| 245 | 1 | 3 |
_aAn Introduction to Constraint-Based Temporal Reasoning _cby Roman Barták, Robert A. Morris, K. Brent Venable |
| 250 | _a1st edition 2014 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2014 |
|
| 300 | _a1 recurso en línea (XIII, 107 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning _x1939-4616 |
|
| 505 | 0 | _aPreface -- Summary of Acronyms -- Introduction to Time in AI Systems -- Temporal Frameworks Based on Constraints -- Extensions: Preferences and Uncertainty -- Applications of Temporal Reasoning -- Bibliography -- Authors' Biographies . | |
| 520 | _aSolving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems that extract temporal information from data. It presents a survey of temporal frameworks based on constraints, both qualitative and quantitative, as well as of major temporal consistency techniques. The book also introduces the reader to more recent extensions to the core model that allow AI systems to explicitly represent temporal preferences and temporal uncertainty. This book is intended for students and researchers interested in constraint-based temporal reasoning. It provides a self-contained guide to the different representations of time, as well as examples of recent applications of time in AI systems. | ||
| 988 | _aSynthesis Collection of Technology_2014 | ||
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático |
|
| 650 | 7 |
_2embne _9413145 _aProcesos cognitivos |
|
| 700 | 1 |
_aMorris, Robert A. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686149 |
|
| 700 | 1 |
_aVenable, Kristen Brent _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686150 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031004391 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031026959 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01567-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2023 _dz _eb _zSI |
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