000 03373nam a22005415i 4500
001 978-3-031-01567-0
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007 cr nn 008mamaa
008 220601s2014 sz | s |||| 0|eng d
020 _a9783031015670
_9978-3-031-01567-0
024 7 _a10.1007/978-3-031-01567-0
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aBarták, Roman.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978445
245 1 3 _aAn Introduction to Constraint-Based Temporal Reasoning
_h[electronic resource] /
_cby Roman Barták, Robert A. Morris, K. Brent Venable.
250 _a1st ed. 2014.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXIII, 107 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aArtificial intelligence.
_93407
650 0 _aMachine learning.
_91831
650 0 _aNeural networks (Computer science) .
_978446
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aMachine Learning.
_91831
650 2 4 _aMathematical Models of Cognitive Processes and Neural Networks.
_932913
700 1 _aMorris, Robert A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978447
700 1 _aVenable, K. Brent.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978448
710 2 _aSpringerLink (Online service)
_978449
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031004391
776 0 8 _iPrinted edition:
_z9783031026959
830 0 _aSynthesis Lectures on Artificial Intelligence and Machine Learning,
_x1939-4616
_978450
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01567-0
912 _aZDB-2-SXSC
942 _cEBK
999 _c84592
_d84592