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
Random Contractions in Global Risk Governance
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Random Contractions in Global Risk Governance/ by Panagiotis T. Artikis, Constantinos T. Artikis.
作者:
Artikis, Panagiotis T.
其他作者:
Artikis, Constantinos T.
面頁冊數:
X, 285 p. 1 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-95691-2
ISBN:
9783030956912
Random Contractions in Global Risk Governance
Artikis, Panagiotis T.
Random Contractions in Global Risk Governance
[electronic resource] /by Panagiotis T. Artikis, Constantinos T. Artikis. - 1st ed. 2022. - X, 285 p. 1 illus.online resource. - Learning and Analytics in Intelligent Systems,272662-3455 ;. - Learning and Analytics in Intelligent Systems,1.
Chapter 1: Stochastic Concepts in Global Risk Governance Operations -- Chapter 2: Formulation of a Stochastic Model -- Chapter 3: Random Contraction Representation for a Stochastic Model -- Chapter 4: Interpretation of a Stochastic Model in Global Risk Governance. .
This book contributes to the area of ongoing global risks and the area of forthcoming global risks, particularly necessary for the implementation of very important interdisciplinary research activities. Global risks are defined in this study as having a global geographical scope, an inter-industrial presence, and exceptionally critical stages of economic and social participation that necessitate a major multi-stakeholder input. In addition, global risks demand an extremely extensive priority in decision-making allowance. The theoretical and practical results of this work are strongly connected to several quite useful factors. The present work mainly concentrates on the contribution of probability theory in the advancement of the practical applicability of global risk governance. More precisely, the work introduces structural stochastic concepts and fundamental stochastic results for the formulation of stochastic models of various global risk governance operations particularly valuable in proactive treatment of several groups of global risks.
ISBN: 9783030956912
Standard No.: 10.1007/978-3-030-95691-2doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Random Contractions in Global Risk Governance
LDR
:02781nam a22004095i 4500
001
1093714
003
DE-He213
005
20220131083155.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783030956912
$9
978-3-030-95691-2
024
7
$a
10.1007/978-3-030-95691-2
$2
doi
035
$a
978-3-030-95691-2
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Artikis, Panagiotis T.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1401702
245
1 0
$a
Random Contractions in Global Risk Governance
$h
[electronic resource] /
$c
by Panagiotis T. Artikis, Constantinos T. Artikis.
250
$a
1st ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
X, 285 p. 1 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Learning and Analytics in Intelligent Systems,
$x
2662-3455 ;
$v
27
505
0
$a
Chapter 1: Stochastic Concepts in Global Risk Governance Operations -- Chapter 2: Formulation of a Stochastic Model -- Chapter 3: Random Contraction Representation for a Stochastic Model -- Chapter 4: Interpretation of a Stochastic Model in Global Risk Governance. .
520
$a
This book contributes to the area of ongoing global risks and the area of forthcoming global risks, particularly necessary for the implementation of very important interdisciplinary research activities. Global risks are defined in this study as having a global geographical scope, an inter-industrial presence, and exceptionally critical stages of economic and social participation that necessitate a major multi-stakeholder input. In addition, global risks demand an extremely extensive priority in decision-making allowance. The theoretical and practical results of this work are strongly connected to several quite useful factors. The present work mainly concentrates on the contribution of probability theory in the advancement of the practical applicability of global risk governance. More precisely, the work introduces structural stochastic concepts and fundamental stochastic results for the formulation of stochastic models of various global risk governance operations particularly valuable in proactive treatment of several groups of global risks.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Artificial intelligence.
$3
559380
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Artificial Intelligence.
$3
646849
700
1
$a
Artikis, Constantinos T.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1401703
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030956905
776
0 8
$i
Printed edition:
$z
9783030956929
776
0 8
$i
Printed edition:
$z
9783030956936
830
0
$a
Learning and Analytics in Intelligent Systems,
$x
2662-3447 ;
$v
1
$3
1297965
856
4 0
$u
https://doi.org/10.1007/978-3-030-95691-2
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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