國立高雄大學圖資館 |

登入

回首頁

Multi-agent-based simulation XXIII23rd International Workshop, MABS 2022, virtual event, May 8-9, 2022 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-agent-based simulation XXIIIedited by Fabian Lorig, Emma Norling.
其他題名:	23rd International Workshop, MABS 2022, virtual event, May 8-9, 2022 : revised selected papers /
其他題名:	Multi-agent-based simulation 23
其他作者:	Lorig, Fabian.
團體作者:
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	x, 147 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Multiagent systemsCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-22947-3
ISBN:	9783031229473$q(electronic bk.)

Multi-agent-based simulation XXIII23rd International Workshop, MABS 2022, virtual event, May 8-9, 2022 : revised selected papers /
Multi-agent-based simulation XXIII23rd International Workshop, MABS 2022, virtual event, May 8-9, 2022 : revised selected papers /[electronic resource] :Multi-agent-based simulation 23edited by Fabian Lorig, Emma Norling. - Cham :Springer International Publishing :2023. - x, 147 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,137431611-3349 ;. - Lecture notes in computer science ;4891..

Land use management using Multi-Agent Based Simulation in a watershed in south of the Brazil -- Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network -- An agent-based model of horizontal mergers -- The influence of national culture on evacuation response behaviour and time: An agent-based approach -- Simulating Work Teams using MBTI agents -- Reconsidering an Agent-Based Model of Food Web Evolution -- Surrogate Modeling of Agent-based Airport Terminal Operations -- School's Out? Simulating Schooling Strategies During COVID-19 -- Generating Explanatory Saliency Maps for Mixed Traffic Flow using a Behaviour Cloning Model -- Challenges for Multi-Agent Based Agricultural Workforce Management -- Agents dealing with Norms and Regulations.

This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS 2022, which took place virtually during May 8-9, 2022. The conference was originally planned to take place in Auckland, New Zealand, but had to change to an online format due to the COVID-19 pandemic. The 11 papers included in these proceedings were carefully reviewed and selected from 17 submissions. They focus on finding efficient solutions to model complex social systems, in areas such as economics, management, organisational and social sciences in general.

ISBN: 9783031229473$q(electronic bk.)

Standard No.: 10.1007/978-3-031-22947-3doiSubjects--Topical Terms:

384584
Multiagent systems
--Congresses.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.30285436

Multi-agent-based simulation XXIII23rd International Workshop, MABS 2022, virtual event, May 8-9, 2022 : revised selected papers /
LDR:02672nmm a2200373 a 4500 001 639799
003 DE-He213
005 20230111103525.0
006 m d
007 cr nn 008maaau
008 231025s2023 sz s 0 eng d
020 $a 9783031229473$q(electronic bk.)
020 $a 9783031229466$q(paper)
024 7 $a 10.1007/978-3-031-22947-3 $2 doi
035 $a 978-3-031-22947-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.I58
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.30285436 $2 23
090 $a QA76.76.I58 $b M112 2022
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Multi-agent-based simulation XXIII $h [electronic resource] : $b 23rd International Workshop, MABS 2022, virtual event, May 8-9, 2022 : revised selected papers / $c edited by Fabian Lorig, Emma Norling.
246 3 $a Multi-agent-based simulation 23
246 3 $a MABS 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a x, 147 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 13743
490 1 $a Lecture notes in artificial intelligence
505 0 $a Land use management using Multi-Agent Based Simulation in a watershed in south of the Brazil -- Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network -- An agent-based model of horizontal mergers -- The influence of national culture on evacuation response behaviour and time: An agent-based approach -- Simulating Work Teams using MBTI agents -- Reconsidering an Agent-Based Model of Food Web Evolution -- Surrogate Modeling of Agent-based Airport Terminal Operations -- School's Out? Simulating Schooling Strategies During COVID-19 -- Generating Explanatory Saliency Maps for Mixed Traffic Flow using a Behaviour Cloning Model -- Challenges for Multi-Agent Based Agricultural Workforce Management -- Agents dealing with Norms and Regulations.
520 $a This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS 2022, which took place virtually during May 8-9, 2022. The conference was originally planned to take place in Auckland, New Zealand, but had to change to an online format due to the COVID-19 pandemic. The 11 papers included in these proceedings were carefully reviewed and selected from 17 submissions. They focus on finding efficient solutions to model complex social systems, in areas such as economics, management, organisational and social sciences in general.
650 0 $a Multiagent systems $v Congresses. $3 384584
650 0 $a Intelligent agents (Computer software) $3 200777
650 0 $a Computer simulation $3 253358
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 913134
650 2 4 $a Computer and Information Systems Applications. $3 913125
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Computer Communication Networks. $3 218087
700 1 $a Lorig, Fabian. $3 878276
700 1 $a Norling, Emma. $3 285717
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Lecture notes in artificial intelligence. $3 822012
856 4 0 $u https://doi.org/10.1007/978-3-031-22947-3
950 $a Computer Science (SpringerNature-11645)