大葉大學圖書館 |

言語: 日文

Argument evaluation and evidence[ele...

SpringerLink (Online service)

Argument evaluation and evidence[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	160
タイトル / 著者:	Argument evaluation and evidence/ by Douglas Walton.
著者:	Walton, Douglas.
出版された:	Cham : : Springer International Publishing :, 2016.
記述:	xi, 286 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Reasoning.
主題:	Explanation.
主題:	Evidence.
主題:	Philosophy.
主題:	Philosophy of Law.
主題:	International IT and Media Law, Intellectual Property Law.
主題:	Artificial Intelligence (incl. Robotics)
主題:	Semantics.
主題:	Educational Philosophy.
国際標準図書番号 (ISBN) :	9783319196268
国際標準図書番号 (ISBN) :	9783319196251
[NT 15000228] null:	Acknowledgments -- Chapter 1: Introduction to Argument and Explanation -- Chapter 2: Inference to the Best Explanation -- Chapter 3: A Dialogue System for Evaluating Explanations -- Chapter 4: Evaluating Expert Opinion Evidence -- Chapter 5: Attribution of a Painting to Leonardo da Vinci -- Chapter 6: Argument from Correlation to Causation -- Chapter 7: Knowledge and Inquiry -- Chapter 8: Evidence and Argument Evaluation -- index.
[NT 15000229] null:	This monograph poses a series of key problems of evidential reasoning and argumentation. It then offers solutions achieved by applying recently developed computational models of argumentation made available in artificial intelligence. Each problem is posed in such a way that the solution is easily understood. The book progresses from confronting these problems and offering solutions to them, building a useful general method for evaluating arguments along the way. It provides a hands-on survey explaining to the reader how to use current argumentation methods and concepts that are increasingly being implemented in more precise ways for the application of software tools in computational argumentation systems. It shows how the use of these tools and methods requires a new approach to the concepts of knowledge and explanation suitable for diverse settings, such as issues of public safety and health, debate, legal argumentation, forensic evidence, science education, and the use of expert opinion evidence in personal and public deliberations.
電子資源:	http://dx.doi.org/10.1007/978-3-319-19626-8

Argument evaluation and evidence[electronic resource] /
Walton, Douglas.

Argument evaluation and evidence[electronic resource] /by Douglas Walton. - Cham :Springer International Publishing :2016. - xi, 286 p. :ill., digital ;24 cm. - Law, governance and technology series,v.232352-1902 ;. - Law, governance and technology series ;v.6..

Acknowledgments -- Chapter 1: Introduction to Argument and Explanation -- Chapter 2: Inference to the Best Explanation -- Chapter 3: A Dialogue System for Evaluating Explanations -- Chapter 4: Evaluating Expert Opinion Evidence -- Chapter 5: Attribution of a Painting to Leonardo da Vinci -- Chapter 6: Argument from Correlation to Causation -- Chapter 7: Knowledge and Inquiry -- Chapter 8: Evidence and Argument Evaluation -- index.

This monograph poses a series of key problems of evidential reasoning and argumentation. It then offers solutions achieved by applying recently developed computational models of argumentation made available in artificial intelligence. Each problem is posed in such a way that the solution is easily understood. The book progresses from confronting these problems and offering solutions to them, building a useful general method for evaluating arguments along the way. It provides a hands-on survey explaining to the reader how to use current argumentation methods and concepts that are increasingly being implemented in more precise ways for the application of software tools in computational argumentation systems. It shows how the use of these tools and methods requires a new approach to the concepts of knowledge and explanation suitable for diverse settings, such as issues of public safety and health, debate, legal argumentation, forensic evidence, science education, and the use of expert opinion evidence in personal and public deliberations.

ISBN: 9783319196268

Standard No.: 10.1007/978-3-319-19626-8doiSubjects--Topical Terms:

181251
Reasoning.

LC Class. No.: BC177 / .W35 2016

Dewey Class. No.: 160

Argument evaluation and evidence[electronic resource] /
LDR:02520nam a2200337 a 4500 001 454468
003 DE-He213
005 20160714171303.0
006 m d
007 cr nn 008maaau
008 161227s2016 gw s 0 eng d
020 $a 9783319196268 $q (electronic bk.)
020 $a 9783319196251 $q (paper)
024 7 $a 10.1007/978-3-319-19626-8 $2 doi
035 $a 978-3-319-19626-8
040 $a GP $c GP
041 0 $a eng
050 4 $a BC177 $b .W35 2016
072 7 $a LAB $2 bicssc
072 7 $a PHI021000 $2 bisacsh
072 7 $a LAW000000 $2 bisacsh
082 0 4 $a 160 $2 23
090 $a BC177 $b .W238 2016
100 1 $a Walton, Douglas. $3 437034
245 1 0 $a Argument evaluation and evidence $h [electronic resource] / $c by Douglas Walton.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 286 p. : $b ill., digital ; $c 24 cm.
490 1 $a Law, governance and technology series, $x 2352-1902 ; $v v.23
505 0 $a Acknowledgments -- Chapter 1: Introduction to Argument and Explanation -- Chapter 2: Inference to the Best Explanation -- Chapter 3: A Dialogue System for Evaluating Explanations -- Chapter 4: Evaluating Expert Opinion Evidence -- Chapter 5: Attribution of a Painting to Leonardo da Vinci -- Chapter 6: Argument from Correlation to Causation -- Chapter 7: Knowledge and Inquiry -- Chapter 8: Evidence and Argument Evaluation -- index.
520 $a This monograph poses a series of key problems of evidential reasoning and argumentation. It then offers solutions achieved by applying recently developed computational models of argumentation made available in artificial intelligence. Each problem is posed in such a way that the solution is easily understood. The book progresses from confronting these problems and offering solutions to them, building a useful general method for evaluating arguments along the way. It provides a hands-on survey explaining to the reader how to use current argumentation methods and concepts that are increasingly being implemented in more precise ways for the application of software tools in computational argumentation systems. It shows how the use of these tools and methods requires a new approach to the concepts of knowledge and explanation suitable for diverse settings, such as issues of public safety and health, debate, legal argumentation, forensic evidence, science education, and the use of expert opinion evidence in personal and public deliberations.
650 0 $a Reasoning. $3 181251
650 0 $a Explanation. $3 379721
650 0 $a Evidence. $3 446506
650 1 4 $a Philosophy. $3 179430
650 2 4 $a Philosophy of Law. $3 464800
650 2 4 $a International IT and Media Law, Intellectual Property Law. $3 468380
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Semantics. $3 174559
650 2 4 $a Educational Philosophy. $3 463981
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Law, governance and technology series ; $v v.6. $3 467455
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-19626-8
950 $a Humanities, Social Sciences and Law (Springer-11648)

～に基づいて 0 論評

マルチメディア (複合媒体資料)

マルチメディアファイル
http://dx.doi.org/10.1007/978-3-319-19626-8

論評

論評を追加あなたの考えを共有してください。

Export

受取館