7th International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB'25)
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'25 aims to bring together researchers in agent-based modelling and agentic AI who are interested in using agent-based modelling to understand human behaviour. This combination of agent(ic)-based modelling and behavioural science 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, misinformation, opinion polarisation and global pandemics. With large-language models (LLMs) providing entirely new ways to create agents and agentic architectures relating to human behaviour, we particularly 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'25 will be a hybrid workshop held in conjuction with the 2025 Conference on Artificial Life. ABMHuB workshops for previous years can be found in ABMHuB'24, ABMHuB'23, ABMHuB'22, ABMHuB'21, ABMHuB'20 and ABMHuB'19.
ABMHuB'25 Workshop Schedule
The ABMHuB'25 workshop will be held in hybrid mode on Thursday 9 October 2025.
All times are in Tokyo time (UTC+9).
| Time (UTC+9) | Title |
|---|---|
| 9:00 - 9:05 |
Introduction from Chairs |
| Long papers (9:05 - 10:05 UTC+9) | |
| 9:05 - 9:15 |
Wrong Face, Wrong Move: The Social Dynamics of Emotion Misperception in Agent-Based Models [pdf] David Freire-Obregón |
| 9:15 - 9:25 |
How Personality Traits and Interaction Histories Can Affect Cooperative Behavior in an LLM-Based Social Particle Swarm [pdf] Taisei Hishiki, Takaya Arita, and Reiji Suzuki |
| 9:25 - 9:35 |
Emergence of Cooperative and Competitive Resource Networks through Evolution of Niche Construction and Ecological Inheritance [pdf] Nomado Umino, Takaya Arita and Reiji Suzuki |
| 9:35 - 9:45 |
An Information-Theoretic Analysis of the Emergence of Social Cohesion [pdf] Matthew Stevenson, Matthew Scott, Madalina Sas and Jeremy Pitt |
| 9:45 - 9:55 |
Comparative Analysis of Intervention Strategies for Mass Atrocity Prevention Using Agent-Based Modeling [pdf] Michael Magid, Zeynep Ertem, David Cingranelli |
| 9:55 - 10:05 |
Situating AI Agents in their World: Aspective Agentic AI for Dynamic Partially Observable Information Systems [pdf] Peter J. Bentley, Soo Ling Lim, Fuyuki Ishikawa |
| Short papers (10:05 - 10:15 UTC+9) | |
| 10:05 - 10:10 |
Modeling Prehistoric Economic Behavior With AI [pdf] Claes Strannegård |
| 10:10 - 10:15 |
Thinking Faster and Slower: An Agent’s Cognitive Repertoire [pdf] Marieke van Otterdijk, Nathan Lloyd and Peter R. Lewis |
| 10:15 - 10:30 |
Q&A and Discussion |
| 10:30 |
Close |
Call for Papers
Contributions will be invited in the following areas:
- Agent-based modelling of human behaviour and organisational behaviour
- Agentic AI, multi-agent systems and LLMs
- Combining LLMs with agent-based modelling
- 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
- Incentives, reward structures, reinforcement learning
- Collective intelligence, teamwork, coalition, distributed problem solving
- Social networks, socio-technical systems
- Social simulation, interactive simulation and emergent behaviour
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):
15 July 20258 August 2025 (anywhere on earth) - Author notification:
31 July 202523 August 2025 - Camera ready deadline: 2 September 2025 (anywhere on earth)
Organising Committee
- Dr Soo Ling Lim (Department of Computer Science, UCL)
- Professor Peter J. Bentley (Department of Computer Science, UCL)