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
Robust Intelligence and Trust in Aut...
~
Lawless, W.F.
Robust Intelligence and Trust in Autonomous Systems
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Robust Intelligence and Trust in Autonomous Systems/ edited by Ranjeev Mittu, Donald Sofge, Alan Wagner, W.F. Lawless.
其他作者:
Mittu, Ranjeev.
面頁冊數:
XII, 270 p. 89 illus., 64 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-1-4899-7668-0
ISBN:
9781489976680
Robust Intelligence and Trust in Autonomous Systems
Robust Intelligence and Trust in Autonomous Systems
[electronic resource] /edited by Ranjeev Mittu, Donald Sofge, Alan Wagner, W.F. Lawless. - 1st ed. 2016. - XII, 270 p. 89 illus., 64 illus. in color.online resource.
Introduction -- Towards modeling the behavior of autonomous systems and humans for trusted operations -- Learning trustworthy behaviors using an inverse trust metric -- The “Trust V”—Building and measuring trust in autonomous systems -- Big Data analytic paradigms—From principle component analysis to deep learning -- Artificial brain systems based on neural network discrete chaotic dynamics. Toward the development of conscious and rational robots -- Modeling and control of trust in human-robot collaborative manufacturing -- Investigating human-robot trust in emergency scenarios: methodological lessons learned -- Designing for robust and effective teamwork in human-agent teams -- Measuring Trust in Human Robot Interactions: Development of the “Trust Perception Scale-HRI” -- Methods for developing trust models for intelligent systems -- The intersection of robust intelligence and trust: Hybrid teams, firms & systems.
This volume explores the intersection of robust intelligence (RI) and trust in autonomous systems across multiple contexts among autonomous hybrid systems, where hybrids are arbitrary combinations of humans, machines and robots. To better understand the relationships between artificial intelligence (AI) and RI in a way that promotes trust between autonomous systems and human users, this book explores the underlying theory, mathematics, computational models, and field applications. It uniquely unifies the fields of RI and trust and frames it in a broader context, namely the effective integration of human-autonomous systems. A description of the current state of the art in RI and trust introduces the research work in this area. With this foundation, the chapters further elaborate on key research areas and gaps that are at the heart of effective human-systems integration, including workload management, human computer interfaces, team integration and performance, advanced analytics, behavior modeling, training, and, lastly, test and evaluation. Written by international leading researchers from across the field of autonomous systems research, Robust Intelligence and Trust in Autonomous Systems dedicates itself to thoroughly examining the challenges and trends of systems that exhibit RI, the fundamental implications of RI in developing trusted relationships with present and future autonomous systems, and the effective human systems integration that must result for trust to be sustained. Contributing authors: David W. Aha, Jenny Burke, Joseph Coyne, M.L. Cummings, Munjal Desai, Michael Drinkwater, Jill L. Drury, Michael W. Floyd, Fei Gao, Vladimir Gontar, Ayanna M. Howard, Mo Jamshidi, W.F. Lawless, Kapil Madathil, Ranjeev Mittu, Arezou Moussavi, Gari Palmer, Paul Robinette, Behzad Sadrfaridpour, Hamed Saeidi, Kristin E. Schaefer, Anne Selwyn, Ciara Sibley, Donald A. Sofge, Erin Solovey, Aaron Steinfeld, Barney Tannahill, Gavin Taylor, Alan R. Wagner, Yue Wang, Holly A. Yanco, Dan Zwillinger.
ISBN: 9781489976680
Standard No.: 10.1007/978-1-4899-7668-0doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Robust Intelligence and Trust in Autonomous Systems
LDR
:04331nam a22003975i 4500
001
978062
003
DE-He213
005
20200630004418.0
007
cr nn 008mamaa
008
201211s2016 xxu| s |||| 0|eng d
020
$a
9781489976680
$9
978-1-4899-7668-0
024
7
$a
10.1007/978-1-4899-7668-0
$2
doi
035
$a
978-1-4899-7668-0
050
4
$a
Q334-342
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
245
1 0
$a
Robust Intelligence and Trust in Autonomous Systems
$h
[electronic resource] /
$c
edited by Ranjeev Mittu, Donald Sofge, Alan Wagner, W.F. Lawless.
250
$a
1st ed. 2016.
264
1
$a
New York, NY :
$b
Springer US :
$b
Imprint: Springer,
$c
2016.
300
$a
XII, 270 p. 89 illus., 64 illus. in color.
$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
505
0
$a
Introduction -- Towards modeling the behavior of autonomous systems and humans for trusted operations -- Learning trustworthy behaviors using an inverse trust metric -- The “Trust V”—Building and measuring trust in autonomous systems -- Big Data analytic paradigms—From principle component analysis to deep learning -- Artificial brain systems based on neural network discrete chaotic dynamics. Toward the development of conscious and rational robots -- Modeling and control of trust in human-robot collaborative manufacturing -- Investigating human-robot trust in emergency scenarios: methodological lessons learned -- Designing for robust and effective teamwork in human-agent teams -- Measuring Trust in Human Robot Interactions: Development of the “Trust Perception Scale-HRI” -- Methods for developing trust models for intelligent systems -- The intersection of robust intelligence and trust: Hybrid teams, firms & systems.
520
$a
This volume explores the intersection of robust intelligence (RI) and trust in autonomous systems across multiple contexts among autonomous hybrid systems, where hybrids are arbitrary combinations of humans, machines and robots. To better understand the relationships between artificial intelligence (AI) and RI in a way that promotes trust between autonomous systems and human users, this book explores the underlying theory, mathematics, computational models, and field applications. It uniquely unifies the fields of RI and trust and frames it in a broader context, namely the effective integration of human-autonomous systems. A description of the current state of the art in RI and trust introduces the research work in this area. With this foundation, the chapters further elaborate on key research areas and gaps that are at the heart of effective human-systems integration, including workload management, human computer interfaces, team integration and performance, advanced analytics, behavior modeling, training, and, lastly, test and evaluation. Written by international leading researchers from across the field of autonomous systems research, Robust Intelligence and Trust in Autonomous Systems dedicates itself to thoroughly examining the challenges and trends of systems that exhibit RI, the fundamental implications of RI in developing trusted relationships with present and future autonomous systems, and the effective human systems integration that must result for trust to be sustained. Contributing authors: David W. Aha, Jenny Burke, Joseph Coyne, M.L. Cummings, Munjal Desai, Michael Drinkwater, Jill L. Drury, Michael W. Floyd, Fei Gao, Vladimir Gontar, Ayanna M. Howard, Mo Jamshidi, W.F. Lawless, Kapil Madathil, Ranjeev Mittu, Arezou Moussavi, Gari Palmer, Paul Robinette, Behzad Sadrfaridpour, Hamed Saeidi, Kristin E. Schaefer, Anne Selwyn, Ciara Sibley, Donald A. Sofge, Erin Solovey, Aaron Steinfeld, Barney Tannahill, Gavin Taylor, Alan R. Wagner, Yue Wang, Holly A. Yanco, Dan Zwillinger.
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Robotics.
$3
561941
650
0
$a
Automation.
$3
596698
650
0
$a
Computational intelligence.
$3
568984
650
1 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Robotics and Automation.
$3
782979
650
2 4
$a
Computational Intelligence.
$3
768837
700
1
$a
Mittu, Ranjeev.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1107539
700
1
$a
Sofge, Donald.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1271625
700
1
$a
Wagner, Alan.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1271626
700
1
$a
Lawless, W.F.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1271627
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781489976666
776
0 8
$i
Printed edition:
$z
9781489976673
776
0 8
$i
Printed edition:
$z
9781493979462
856
4 0
$u
https://doi.org/10.1007/978-1-4899-7668-0
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
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