國立高雄大學圖資館 |

Language: English

Back

Multi-agent-based simulation XXV25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-agent-based simulation XXVedited by Jason Thompson, Ivana Stankov.
Reminder of title:	25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024 : revised selected papers /
remainder title:	Multi-agent-based simulation 25
other author:	Thompson, Jason.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	ix, 99 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Multiagent systemsCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-88017-9
ISBN:	9783031880179$q(electronic bk.)

Multi-agent-based simulation XXV25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024 : revised selected papers /
Multi-agent-based simulation XXV25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024 : revised selected papers /[electronic resource] :Multi-agent-based simulation 25edited by Jason Thompson, Ivana Stankov. - Cham :Springer Nature Switzerland :2025. - ix, 99 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,155831611-3349 ;. - Lecture notes in computer science ;4891..

MABS Methodology and Tools. -- Creating a Serious Game on top of an Agent-Based Simulation, an applied case to crisis management and population evacuation. -- GENSIMO - A Generic Framework for Modelling Social Insurance Systems. -- Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution?. -- MABS Education. -- Teaching Agent-based Modeling for Simulating Social Systems - A Research-based Learning Approach. -- MABS Applications. -- KEMASS: Knowledge-Enhanced Multi-Agent simulation for energy Scheduling Support. -- Inverse Generative Approach for Identifying Agent-Based Models from Stochastic Primitives. -- Inferring pedestrian decision-making through inverse reinforcement learning.

This book constitutes the refereed proceedings of the 25th International Workshop on Multi-Agent-Based Simulation XXV, MABS 2024, held in Auckland, New Zealand, on May 6, 2024. The 7 full papers included in this book were carefully reviewed and selected from 11 submissions. They are organized in topical sections as follows: MABS methodology and tools; MABS education; and MABS applications.

ISBN: 9783031880179$q(electronic bk.)

Standard No.: 10.1007/978-3-031-88017-9doiSubjects--Topical Terms:

384584
Multiagent systems
--Congresses.

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.30285436

Multi-agent-based simulation XXV25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024 : revised selected papers /
LDR:02398nmm a2200373 a 4500 001 677492
003 DE-He213
005 20250408034535.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031880179$q(electronic bk.)
020 $a 9783031880162$q(paper)
024 7 $a 10.1007/978-3-031-88017-9 $2 doi
035 $a 978-3-031-88017-9
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 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Multi-agent-based simulation XXV $h [electronic resource] : $b 25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024 : revised selected papers / $c edited by Jason Thompson, Ivana Stankov.
246 3 $a Multi-agent-based simulation 25
246 3 $a MABS 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a ix, 99 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15583
490 1 $a Lecture notes in artificial intelligence
505 0 $a MABS Methodology and Tools. -- Creating a Serious Game on top of an Agent-Based Simulation, an applied case to crisis management and population evacuation. -- GENSIMO - A Generic Framework for Modelling Social Insurance Systems. -- Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution?. -- MABS Education. -- Teaching Agent-based Modeling for Simulating Social Systems - A Research-based Learning Approach. -- MABS Applications. -- KEMASS: Knowledge-Enhanced Multi-Agent simulation for energy Scheduling Support. -- Inverse Generative Approach for Identifying Agent-Based Models from Stochastic Primitives. -- Inferring pedestrian decision-making through inverse reinforcement learning.
520 $a This book constitutes the refereed proceedings of the 25th International Workshop on Multi-Agent-Based Simulation XXV, MABS 2024, held in Auckland, New Zealand, on May 6, 2024. The 7 full papers included in this book were carefully reviewed and selected from 11 submissions. They are organized in topical sections as follows: MABS methodology and tools; MABS education; and MABS applications.
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 Thompson, Jason. $3 832675
700 1 $a Stankov, Ivana. $3 991034
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/10.1007/978-3-031-88017-9
950 $a Computer Science (SpringerNature-11645)