The following 11 papers have been accepted for MABS2022. Authors been invited to submit a camera ready version for the proceedings to be published in the Lecture Notes in Computer Science book series by Springer (subject to final review).

The proceedings of MABS 2022 have now been published as part of the Springer Lecture Notes in Computer Science (LNCS) series and can be accessed via Springer Link (LNCS 13743)

Authors Title
Bruna Leitzke and Diana Adamatti Land use management using Multi-Agent Based Simulation in a watershed in south of the Brazil
Yu Yamashita, Shunki Takami, Shusuke Shigenaka, Masaki Onishi and Atsuyuki Morishima Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network
Martin Barrenechea and José Clementino An agent-based model of horizontal mergers
Elvira Van Damme, Natalie van der Wal, Gert Jan Hofstede and Frances Brazier The influence of national culture on evacuation response behaviour and time: An agent-based approach
Luiz Braz, Jaime Sichman and Cristina Maria D Antona Bachert Simulating Work Teams using MBTI agents
Samuel Armstrong and Emma Norling Reconsidering an Agent-Based Model of Food Web Evolution
Benyamin De Leeuw, Seyed Sahand Mohammadi Ziabari and Alexei Sharpanskykh Surrogate Modeling of Agent-based Airport Terminal Operations
Lukas Tapp, Veronika Kurchyna, Jan Ole Berndt and Ingo J. Timm School’s Out? Simulating Schooling Strategies During COVID-19
Yasin Yousif and Jörg P. Müller Generating Explanatory Saliency Maps for Mixed Traffic Flow using a Behaviour Cloning Model
Helen Harman and Elizabeth Sklar Challenges for Multi-Agent Based Agricultural Workforce Management
Christian Kammler, René Mellema and Frank Dignum Agents dealing with Norms and Regulations