Uncertainty in Artificial Intelligence: Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993
Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applie...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Saint Louis
Elsevier Science
2014
|
| Schlagworte: | |
| Online-Zugang: | FAW01 |
| Zusammenfassung: | Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial intelligence (AI) and cover topics ranging from knowledge acquisition and automated model construction to learning, planning, temporal reasoning, and machine vision.Comprised of 66 chapters, this book begins with a discussion on causality in Bayesian belief networks before turning to a decision theoretic account of conditional ought statements that rectifies glaring deficiencies in classical deontic logic and forms a sound basis for qualitative decision theory. Subsequent chapters explore trade-offs in constructing and evaluating temporal influence diagrams; normative engineering risk management systems; additive belief-network models; and sensitivity analysis for probability assessments in Bayesian networks. Automated model construction and learning as well as algorithms for inference and decision making are also considered.This monograph will be of interest to both students and practitioners in the fields of AI and computer science |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (554 pages) |
| ISBN: | 9781483214511 9781558603066 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043616663 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 160616s2014 |||| o||u| ||||||eng d | ||
| 020 | |a 9781483214511 |9 978-1-4832-1451-1 | ||
| 020 | |a 9781558603066 |c Print |9 978-1-55860-306-6 | ||
| 035 | |a (ZDB-30-PQE)EBC1901488 | ||
| 035 | |a (ZDB-89-EBL)EBL1901488 | ||
| 035 | |a (ZDB-38-EBR)ebr11003842 | ||
| 035 | |a (OCoLC)896825973 | ||
| 035 | |a (DE-599)BVBBV043616663 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 | ||
| 082 | 0 | |a 006.3 | |
| 100 | 1 | |a Heckerman, David |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Uncertainty in Artificial Intelligence |b Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| 264 | 1 | |a Saint Louis |b Elsevier Science |c 2014 | |
| 264 | 4 | |c © 1993 | |
| 300 | |a 1 online resource (554 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 520 | |a Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial intelligence (AI) and cover topics ranging from knowledge acquisition and automated model construction to learning, planning, temporal reasoning, and machine vision.Comprised of 66 chapters, this book begins with a discussion on causality in Bayesian belief networks before turning to a decision theoretic account of conditional ought statements that rectifies glaring deficiencies in classical deontic logic and forms a sound basis for qualitative decision theory. Subsequent chapters explore trade-offs in constructing and evaluating temporal influence diagrams; normative engineering risk management systems; additive belief-network models; and sensitivity analysis for probability assessments in Bayesian networks. Automated model construction and learning as well as algorithms for inference and decision making are also considered.This monograph will be of interest to both students and practitioners in the fields of AI and computer science | ||
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Uncertainty (Information theory) | |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Unvollkommene Information |0 (DE-588)4140474-9 |2 gnd |9 rswk-swf |
| 655 | 7 | |8 1\p |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
| 655 | 7 | |8 2\p |0 (DE-588)1071861417 |a Konferenzschrift |y 1992 |z Stanford Calif. |2 gnd-content | |
| 655 | 7 | |8 3\p |0 (DE-588)1071861417 |a Konferenzschrift |y 1993 |z Washington DC |2 gnd-content | |
| 689 | 0 | 0 | |a Unvollkommene Information |0 (DE-588)4140474-9 |D s |
| 689 | 0 | 1 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | |8 4\p |5 DE-604 | |
| 700 | 1 | |a Mamdani, Abe |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Heckerman, David |t Uncertainty in Artificial Intelligence : Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| 912 | |a ZDB-30-PQE |a ZDB-33-ESD |a ZDB-33-EBS | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029030722 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 4\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u http://www.sciencedirect.com/science/book/9781483214511 |l FAW01 |p ZDB-33-ESD |q FAW_PDA_ESD |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804176358778077184 |
|---|---|
| any_adam_object | |
| author | Heckerman, David |
| author_facet | Heckerman, David |
| author_role | aut |
| author_sort | Heckerman, David |
| author_variant | d h dh |
| building | Verbundindex |
| bvnumber | BV043616663 |
| collection | ZDB-30-PQE ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (ZDB-30-PQE)EBC1901488 (ZDB-89-EBL)EBL1901488 (ZDB-38-EBR)ebr11003842 (OCoLC)896825973 (DE-599)BVBBV043616663 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03953nmm a2200577zc 4500</leader><controlfield tag="001">BV043616663</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">160616s2014 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781483214511</subfield><subfield code="9">978-1-4832-1451-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781558603066</subfield><subfield code="c">Print</subfield><subfield code="9">978-1-55860-306-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC1901488</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL1901488</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-38-EBR)ebr11003842</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)896825973</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043616663</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Heckerman, David</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Uncertainty in Artificial Intelligence</subfield><subfield code="b">Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Saint Louis</subfield><subfield code="b">Elsevier Science</subfield><subfield code="c">2014</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 1993</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (554 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial intelligence (AI) and cover topics ranging from knowledge acquisition and automated model construction to learning, planning, temporal reasoning, and machine vision.Comprised of 66 chapters, this book begins with a discussion on causality in Bayesian belief networks before turning to a decision theoretic account of conditional ought statements that rectifies glaring deficiencies in classical deontic logic and forms a sound basis for qualitative decision theory. Subsequent chapters explore trade-offs in constructing and evaluating temporal influence diagrams; normative engineering risk management systems; additive belief-network models; and sensitivity analysis for probability assessments in Bayesian networks. Automated model construction and learning as well as algorithms for inference and decision making are also considered.This monograph will be of interest to both students and practitioners in the fields of AI and computer science</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Uncertainty (Information theory)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Unvollkommene Information</subfield><subfield code="0">(DE-588)4140474-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">2\p</subfield><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">1992</subfield><subfield code="z">Stanford Calif.</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">3\p</subfield><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">1993</subfield><subfield code="z">Washington DC</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Unvollkommene Information</subfield><subfield code="0">(DE-588)4140474-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">4\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mamdani, Abe</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Heckerman, David</subfield><subfield code="t">Uncertainty in Artificial Intelligence : Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029030722</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">4\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://www.sciencedirect.com/science/book/9781483214511</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-33-ESD</subfield><subfield code="q">FAW_PDA_ESD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| genre | 1\p (DE-588)1071861417 Konferenzschrift gnd-content 2\p (DE-588)1071861417 Konferenzschrift 1992 Stanford Calif. gnd-content 3\p (DE-588)1071861417 Konferenzschrift 1993 Washington DC gnd-content |
| genre_facet | Konferenzschrift Konferenzschrift 1992 Stanford Calif. Konferenzschrift 1993 Washington DC |
| id | DE-604.BV043616663 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:30:55Z |
| institution | BVB |
| isbn | 9781483214511 9781558603066 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029030722 |
| oclc_num | 896825973 |
| open_access_boolean | |
| owner | DE-1046 |
| owner_facet | DE-1046 |
| physical | 1 online resource (554 pages) |
| psigel | ZDB-30-PQE ZDB-33-ESD ZDB-33-EBS ZDB-33-ESD FAW_PDA_ESD |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Elsevier Science |
| record_format | marc |
| spelling | Heckerman, David Verfasser aut Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 Saint Louis Elsevier Science 2014 © 1993 1 online resource (554 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on July 9-11, 1993. The papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial intelligence (AI) and cover topics ranging from knowledge acquisition and automated model construction to learning, planning, temporal reasoning, and machine vision.Comprised of 66 chapters, this book begins with a discussion on causality in Bayesian belief networks before turning to a decision theoretic account of conditional ought statements that rectifies glaring deficiencies in classical deontic logic and forms a sound basis for qualitative decision theory. Subsequent chapters explore trade-offs in constructing and evaluating temporal influence diagrams; normative engineering risk management systems; additive belief-network models; and sensitivity analysis for probability assessments in Bayesian networks. Automated model construction and learning as well as algorithms for inference and decision making are also considered.This monograph will be of interest to both students and practitioners in the fields of AI and computer science Künstliche Intelligenz Artificial intelligence Uncertainty (Information theory) Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Unvollkommene Information (DE-588)4140474-9 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift gnd-content 2\p (DE-588)1071861417 Konferenzschrift 1992 Stanford Calif. gnd-content 3\p (DE-588)1071861417 Konferenzschrift 1993 Washington DC gnd-content Unvollkommene Information (DE-588)4140474-9 s Künstliche Intelligenz (DE-588)4033447-8 s 4\p DE-604 Mamdani, Abe Sonstige oth Erscheint auch als Druck-Ausgabe Heckerman, David Uncertainty in Artificial Intelligence : Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Heckerman, David Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 Künstliche Intelligenz Artificial intelligence Uncertainty (Information theory) Künstliche Intelligenz (DE-588)4033447-8 gnd Unvollkommene Information (DE-588)4140474-9 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4140474-9 (DE-588)1071861417 |
| title | Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| title_auth | Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| title_exact_search | Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| title_full | Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| title_fullStr | Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| title_full_unstemmed | Uncertainty in Artificial Intelligence Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| title_short | Uncertainty in Artificial Intelligence |
| title_sort | uncertainty in artificial intelligence proceedings of the ninth conference on uncertainty in artificial intelligence the catholic university of america washington d c 1993 |
| title_sub | Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C. 1993 |
| topic | Künstliche Intelligenz Artificial intelligence Uncertainty (Information theory) Künstliche Intelligenz (DE-588)4033447-8 gnd Unvollkommene Information (DE-588)4140474-9 gnd |
| topic_facet | Künstliche Intelligenz Artificial intelligence Uncertainty (Information theory) Unvollkommene Information Konferenzschrift Konferenzschrift 1992 Stanford Calif. Konferenzschrift 1993 Washington DC |
| work_keys_str_mv | AT heckermandavid uncertaintyinartificialintelligenceproceedingsoftheninthconferenceonuncertaintyinartificialintelligencethecatholicuniversityofamericawashingtondc1993 AT mamdaniabe uncertaintyinartificialintelligenceproceedingsoftheninthconferenceonuncertaintyinartificialintelligencethecatholicuniversityofamericawashingtondc1993 |