1.

Record Nr.

UNINA9910644268403321

Autore

Lorig Fabian

Titolo

Multi-Agent-Based Simulation XXIII : 23rd International Workshop, MABS 2022, Virtual Event, May 8–9, 2022, Revised Selected Papers / / edited by Fabian Lorig, Emma Norling

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023

ISBN

9783031229473

3031229479

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (157 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13743

Disciplina

003.3

003.363

Soggetti

Artificial intelligence

Social sciences - Data processing

Application software

Education - Data processing

Computer networks

Artificial Intelligence

Computer Application in Social and Behavioral Sciences

Computer and Information Systems Applications

Computers and Education

Computer Communication Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.