This workshop aims to bring together researchers who are interested in using agent-based modelling to understand human behaviour. It is a combination of agent-based modelling and behavioural science, which is a new and growing area of research. We want to build a focused group of people, bringing together many of the researchers in this young field. The motivation behind this workshop is to address some of the significant issues in psychological research today. Human experimentation can create ethical issues and has been increasingly difficult to conduct, making it more difficult to progress our understanding in the area. Alife models offer the capability to create realistic laboratories for which to conduct such experiments. A workshop in this area can encourage researchers to use behavioural modelling to assess, challenge or even replace competing theories of human behaviour. Introducing rigorous computational modelling to this contentious area will help strengthen the field of psychology and behavioural science.
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. However, its use remains very limited in studies of how human interaction is affected by more complex aspects of human behaviour, such as personality, emotional state and conflict.
Our last year’s workshop, held in conjunction with the 2019 Conference on Artificial Life, was well-attended and hosted 10 speakers and an audience of 50 researchers from both academia and industry (2019 ABMHuB website). During the discussion, the attendees agreed that an event gathering agent-based modelling researchers should continue in the future as it would encourage more work in this area and improve quality of research. Following the success of the ABMHub 2019 workshop, we want to build a focused group of people and continue bringing together many of the researchers in this young field.
2020 ABMHuB Workshop is held in conjuction with the 2020 Conference on Artificial Life.