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Multi-agent-based simulation XXIII : 23rd international workshop, MABS 2022 virtual event, May 8-9, 2022 : revised selected papers / Fabian Long, Emma Norling (eds.).

MABS (Workshop) (23rd : 2022 : Online); Lorig, Fabian, editor.; Norling, Emma, editor.
2023
QA76.76.I58
Available Online
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Title
Multi-agent-based simulation XXIII : 23rd international workshop, MABS 2022 virtual event, May 8-9, 2022 : revised selected papers / Fabian Long, Emma Norling (eds.).
Meeting Name
MABS (Workshop) (23rd : 2022 : Online)
ISBN
9783031229473 (electronic bk.)
3031229479 (electronic bk.)
9783031229466
3031229460
DOI
https://doi.org/10.1007/978-3-031-22947-3
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (x, 147 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-22947-3 doi
Call Number
QA76.76.I58
Dewey Decimal Classification
006.3/0285436
Summary
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 89, 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.
Note
International conference proceedings.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 23, 2023).
Added Author
Lorig, Fabian, editor.
Norling, Emma, editor.
Series
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13743.
Available in Other Form
Print version: 9783031229466
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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.

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