語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Witness testimony evidence : = argumentation, artificial intelligence, and law /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Witness testimony evidence :/ Douglas Walton.
其他題名:
argumentation, artificial intelligence, and law /
作者:
Walton, Douglas N.,
面頁冊數:
1 online resource (xvii, 365 pages) :digital, PDF file(s). :
附註:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:
Relevance (Philosophy) -
電子資源:
https://doi.org/10.1017/CBO9780511619533
ISBN:
9780511619533 (ebook)
Witness testimony evidence : = argumentation, artificial intelligence, and law /
Walton, Douglas N.,
Witness testimony evidence :
argumentation, artificial intelligence, and law /Douglas Walton. - 1 online resource (xvii, 365 pages) :digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same time such testimony can provide evidence that is not only necessary but inherently reasonable for logically guiding legal experts to accept or reject a claim. Walton shows how to overcome the traditional disdain for witness testimony as a type of evidence shown by logical positivists, and the views of trial sceptics who doubt that trial rules deal with witness testimony in a way that yields a rational decision-making process.
ISBN: 9780511619533 (ebook)Subjects--Topical Terms:
803068
Relevance (Philosophy)
LC Class. No.: K213 / .W355 2008
Dewey Class. No.: 347/.066
Witness testimony evidence : = argumentation, artificial intelligence, and law /
LDR
:01983nam a2200289 i 4500
001
1125324
003
UkCbUP
005
20151005020621.0
006
m|||||o||d||||||||
007
cr||||||||||||
008
240926s2008||||enk o ||1 0|eng|d
020
$a
9780511619533 (ebook)
020
$z
9780521881432 (hardback)
020
$z
9780521707701 (paperback)
035
$a
CR9780511619533
040
$a
UkCbUP
$b
eng
$e
rda
$c
UkCbUP
050
0 0
$a
K213
$b
.W355 2008
082
0 0
$a
347/.066
$2
22
100
1
$a
Walton, Douglas N.,
$e
author.
$3
1443472
245
1 0
$a
Witness testimony evidence :
$b
argumentation, artificial intelligence, and law /
$c
Douglas Walton.
264
1
$a
Cambridge :
$b
Cambridge University Press,
$c
2008.
300
$a
1 online resource (xvii, 365 pages) :
$b
digital, PDF file(s).
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520
$a
Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same time such testimony can provide evidence that is not only necessary but inherently reasonable for logically guiding legal experts to accept or reject a claim. Walton shows how to overcome the traditional disdain for witness testimony as a type of evidence shown by logical positivists, and the views of trial sceptics who doubt that trial rules deal with witness testimony in a way that yields a rational decision-making process.
650
0
$a
Relevance (Philosophy)
$3
803068
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Reasoning.
$3
557675
650
0
$a
Evidence (Law)
$3
593204
650
0
$a
Witnesses.
$3
575435
650
0
$a
Law
$x
Methodology.
$3
557039
776
0 8
$i
Print version:
$z
9780521881432
856
4 0
$u
https://doi.org/10.1017/CBO9780511619533
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入