東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Systems engineering and artificial ...

Lawless, William F. (1942-)

FindBook

Google Book

Amazon

博客來

Systems engineering and artificial intelligence

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Systems engineering and artificial intelligence/ edited by William F. Lawless ... [et al.].
其他作者:	Lawless, William F.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xv, 569 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-77283-3
ISBN:	9783030772833

Systems engineering and artificial intelligence
Systems engineering and artificial intelligence[electronic resource] /edited by William F. Lawless ... [et al.]. - Cham :Springer International Publishing :2021. - xv, 569 p. :ill., digital ;24 cm.

This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams--where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

ISBN: 9783030772833

Standard No.: 10.1007/978-3-030-77283-3doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334 / .S97 2021

Dewey Class. No.: 006.3

Systems engineering and artificial intelligence
LDR:02602nmm a2200313 a 4500 001 2253513
003 DE-He213
005 20211101231108.0
006 m d
007 cr nn 008maaau
008 220327s2021 sz s 0 eng d
020 $a 9783030772833 $q (electronic bk.)
020 $a 9783030772826 $q (paper)
024 7 $a 10.1007/978-3-030-77283-3 $2 doi
035 $a 978-3-030-77283-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334 $b .S97 2021
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
090 $a Q334 $b .S995 2021
245 0 0 $a Systems engineering and artificial intelligence $h [electronic resource] / $c edited by William F. Lawless ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xv, 569 p. : $b ill., digital ; $c 24 cm.
520 $a This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams--where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 0 $a Systems engineering $x Congresses. $3 695851
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Special Purpose and Application-Based Systems. $3 892492
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
700 1 $a Lawless, William F. $q (William Frere), $d 1942- $3 3521749
710 2 $a SpringerLink (Online service) $3 836513
711 2 $a AAAI Spring Symposium $d (2020 : $c Online) $3 3521750
711 2 $a AAI Fall Symposium $d (2020 : $c Online) $3 3521751
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-77283-3
950 $a Computer Science (SpringerNature-11645)