6th International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB'24)
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'24 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. Our motivation is to improve our understanding of collective human behaviour and address significant issues that are affecting the human population today, such as climate change, the global pandemic and misinformation. With LLMs providing entirely new ways to create agents relating to human behaviour, we also welcome contributions in this area. Alife models offer the capability to create realistic laboratories for which to conduct experiments and progress our understanding in the area. We encourage researchers to use behavioural modelling to assess, challenge or even replace competing theories of human behaviour. Discussions of practical applications, ethical implications, and use cases from industry are also welcome.
ABMHuB'24 will be a virtual workshop held in conjuction with the 2024 Conference on Artificial Life. ABMHuB workshops for previous years can be found in ABMHuB'23, ABMHuB'22, ABMHuB'21, ABMHuB'20 and ABMHuB'19.
ABMHuB'24 Workshop Schedule
The ABMHuB'24 workshop will be held on Thursday 25 July 2024.
Session 1 is 13:00 - 14:40 CET (11:00 - 12:40 UTC / 12:00 - 13:40 BST)
Session 2 is 15:00 - 16:40 CET (13:00 - 14:40 UTC / 14:00 - 15:40 BST)
Zoom Link: https://itucph.zoom.us/j/68684697669?pwd=vSRUNeYPhHo69Uqd2RaXoxJniPdNxb.1
ID: 686 8469 7669
| Time (CET) | Title |
|---|---|
| Session 1 (13:00 - 14:40 CET / 11:00 - 12:40 UTC / 12:00 - 13:40 BST) | |
| 13:00 - 13:05 |
Welcome Soo Ling Lim and Peter J. Bentley |
| 13:05 - 13:20 |
Autonomous Avatar for Customer Service Training VR System [pdf] Takenori Hara, Haruka Maeda and Shigeru Komatsubara |
| 13:20 - 13:35 |
How LLMs can evolve various personality traits within social dilemmas [pdf] Reiji Suzuki and Takaya Arita |
| 13:35 - 13:50 |
Human–Machine Social System: a Mean-Field Game Approach [pdf] Jiejun Hu-Bolz and James Stovold |
| 13:50 - 14:05 |
Capturing Individuals’ Communication Styles Using Large Language Models [pdf] Yuya Ishikawa, Kyosuke Tsubaki, Kazuki Kitagawa, Kazuya Kanno, Nanami Iwahashi, Ciaran Regan and Mizuki Oka |
| 14:05 - 14:20 |
Modelling Human-like Emotions with Generative Agents [pdf] Ciaran Regan, Nanami Iwahashi, Shogo Tanaka and Mizuki Oka |
| 14:20 - 14:40 |
Questions |
| 14:40 - 15:00 |
Break |
| Session 2 (15:00 - 16:40 CET / 13:00 - 14:40 UTC / 14:00 - 15:40 BST) | |
| 15:00 - 15:15 |
Simulating Social Mechanisms of Depression [pdf] Johanna Bueck, Eric Silverman and Martin Hinsch |
| 15:15 - 15:30 |
Community Cooking Nights: An Agent-based Model for Promoting Healthy Eating and Social Cohesion [pdf] Sterre van der Kaaij, Leah Rosen and Yara Khaluf |
| 15:30 - 15:45 |
Use of Agent-Based Modelling to evaluate social food sharing behaviours in early hominins [pdf] Sara Satake, Anna Bogdanova, Claus Aranha, Clayton R. Magill and Romain Chassagne |
| 15:45 - 16:00 |
Cohesion and the Explanation of Constitutional Choice in Self-Governing Systems [pdf] Asimina Mertzani, Jeremy Pitt, Stefan Sarkadi, Madalina Sas, Matt Scott and Ciske Smit |
| 16:00 - 16:15 |
Swarming Locusts can be Socially Informed by Robotic Avatars about Potential Treats [pdf] Donato Romano and Cesare Stefanini |
| 16:15 - 16:35 |
Questions |
| 16:35 - 16:40 |
Close |
Call for Papers
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 communication, trust, conflict, and conflict resolution
- ALife models of collaboration, cooperation, competition
- ALife models of social media and spread of misinformation
- Use of Large Language Models to create agents relating to human behaviour
- Collective intelligence, teamwork, coalition, distributed problem solving
- Social networks, socio-technical systems
- Epidemiology and spread of diseases
- Social simulation, interactive simulation and emergent behaviour
- Education technology, personalised teaching and training
- Incentives, reward structures, reinforcement learning
- 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
Information for Authors
There are two options for submission:
- Full papers: 8-page maximum length (excluding references) and should report on new, unpublished work.
- Extended abstracts: 2-page maximum length (excluding references) and should report on industry experience, preliminary work or previously published 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.
Submission Process
Please email your submission as a PDF file to Soo Ling at s.lim@cs.ucl.ac.uk
Important Dates
- Submission deadline (Full paper and extended abstract):
20 May 202431 May 2024 (anywhere on earth) - Author notification: 16 June 2024
- Camera ready deadline: 30 June 2024 (anywhere on earth)
Organising Committee
- Dr Soo Ling Lim (Department of Computer Science, UCL)
- Professor Peter J. Bentley (Department of Computer Science, UCL)