- The Second International Workshop on Agent-Based Modelling of Human Behaviour2020 ABMHuB Workshop
Call for papers is now open. Submission deadline: 27 April 2020.
The workshop is held in conjunction with the 2020 Conference on Artificial Life.
COVID-19 update: ALIFE 2020 is going to be hosted online. We have also decided to extend the submission deadline to accommodate those who would like to contribute but could not previously attend physically or would have missed the deadline due to COVID-19.
More details, including updated lower registration fees, are available on the conference website: http://2020.alife.org
Aim of the Workshop
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.
Workshop Schedule
The Second ABMHuB workshop will be held during the 2020 Conference on Artificial Life, which takes place 13-18 July.
The workshop has a form of two 1.5 hour sessions with a 30-minute coffee break in between sessions. We will be sending a detailed schedule of session dates and times shortly.
Important Dates
All submission dates are time zone agnostic and can be read as "this date anywhere on Earth".
1Submission deadline
Full paper: 27 April 2020
Extended abstract: 27 April 2020
2Author notification
11 May 2020
3Camera ready deadline
25 May 2020
4ABMHuB workshop
July 2020
Call for Papers
Workshop themes
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:
- Agent-based modelling of human behaviour and organisational behaviour
- ALife models of individual behaviour, diversity, and group performance
- ALife models of human personality, emotions
- ALife models of human communication, trust, conflict, and conflict resolution
- ALife models of collaboration, cooperation, competition
- Agent-based modelling of economic paradigms such as negotiation and bargaining, games, auctions, markets
- Agent-based modelling of location behaviour, spatial patterns, geographical systems, urban evacuation, driver route choices, traffic flows, transport logistics
- Agent-based modelling of human systems such as smart grids, app stores, economies
- ALife models of the emergent effect and propagation of communication in human systems
- Use of agent-based modelling to evaluate or understand existing findings in behavioural science and psychology
- Incentives, reward structures, reinforcement learning
- Collective intelligence, teamwork, coalition, distributed problem solving
- Social networks, socio-technical systems
- Social simulation, interactive simulation and emergent behaviour
- Education technology, personalised teaching and training.
Information for Authors
There are two options for submission:
- Extended abstracts: 2-page maximum length and should report on industry experience or previously published work.
- Full papers: 6-page maximum length and should report on new, unpublished work.
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. Authors of selected contributions will be invited to expand their work for submission to a special issue of the Artificial Life journal.
Submission Process
Please email your submission as a PDF file to Kasia Kozdon at k.kozdon.11@ucl.ac.uk
Organising Committee
Contact: k.kozdon.11@ucl.ac.uk
Katarzyna (Kasia) Kozdon
University College London
TheAIWorks
Dr Soo Ling Lim
University College London
TheAIWorks
Professor Peter J. Bentley
University College London
TheAIWorks
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