4th International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB'22)

Agent-based modelling has a long history of success in many related fields from economics and cooperative behaviours, to social conflict, civil violence and revolution.

ABMHuB'22 aims to bring together researchers who are interested in using agent-based modelling to understand human behaviour. It is a combination of computational modelling, social science and behavioural science, which is a growing area of research. We want to build a focused group of people, bringing together many of the researchers in this field. The motivation behind this workshop is to improve our understanding of collective human behaviour and address significant issues that are affecting the human population today, such as climate change, pandemic and misinformation. Alife models offer the capability to create realistic laboratories for which to conduct experiments and progress our understanding in the area. A workshop in this area can encourage researchers to use behavioural modelling to assess, challenge or even replace competing theories of human behaviour.

ABMHuB'22 will be a virtual workshop held in conjuction with the 2022 Conference on Artificial Life. ABMHuB workshops for previous years can be found in ABMHuB 2021, ABMHuB 2020 and ABMHuB 2019.

Call for Papers

The workshop seeks to bring together ideas, approaches, concepts, and perspectives from agent-based modelling and human social systems. The aim of the workshop is to bring together researchers from these connected fields, to engage across the disciplines, to inform of latest findings, to transfer discoveries and concepts from one field to another, and to inspire new ideas and new collaborations across the theme. Discussions of practical applications, ethical implications, and use cases from industry are also welcome.

Contributions will be invited in the following areas:

Information for Authors

There are two options for submission:

Please use one of the following templates to format your submission:

All submissions will undergo a peer review process. Extended abstracts will be reviewed for timeliness, novelty, and quality. Full papers will be reviewed for timeliness, novelty, scientific quality, and sound methodology.

Accepted full papers and extended abstracts will be published online proceedings.

Submission Process

Please email your submission as a PDF file to Soo Ling at s.lim@cs.ucl.ac.uk

Important Dates

Organising Committee

Contact: s.lim@cs.ucl.ac.uk.