Special Session on Agent-Based Modelling of Human Behaviour (ABMHuB'23)

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'23 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. 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'23 is a Special Session held in conjuction with the 2023 Conference on Artificial Life (ALIFE 2023). ABMHuB has been organised as a workshop in the past four ALife conferences: ABMHuB 2022, ABMHuB 2021, ABMHuB 2020 and ABMHuB 2019.

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
• 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

ABMHuB'23 Accepted Papers

Session 1

• Shiyu Jiang, Hee Joong Kim, Fabio Tanaka, Claus Aranha, Anna Bogdanova, Kimia Ghobadi and Anton Dahbura: Simulating Disease Spread During Disaster Scenarios
• Yara Khaluf and Arne Vandenberghe: How Individual Heterogeneity impacts Spreading Dynamics in Urban Proximity Networks: A case-study of virus spreading in the city of Brussels
• Martin Hinsch, Eric Silverman and David Robertso: Simulating the Evolutionary Response of a Viral Pandemic to Behaviour Change

Session 2

• Paolo Bova, Alessandro Di Stefano and The Anh Han: A tale of two Regulatory Markets: the role of institutional incentives in supporting sustainable Regulatory Markets for future AI systems
• Giulia Bernardi, Eric Medvet, Alberto Bartoli and Andrea De Lorenzo: Examining the Role of Incentives in Scholarly Publishing with Multi-Agent Reinforcement Learning
• Manh Hong Duong, Calina M. Durbac and The Anh Han: Optimisation of hybrid institutional incentives for cooperation in finite populations
• The Anh Han: To Comply or Not: A Social Dynamics Analysis of Institutional Reward and Punishment for Commitment Compliance

Session 3 (poster)

• Stavros Anagnou, Daniel Polani and Christoph Salge: The Effect of Noise on the Emergence of Continuous Norms and its Evolutionary Dynamics
• Georgina Montserrat Reséndiz-Benhumea, Jesús M. Siqueiros-García, Carlos Gershenson, Gabriel Ramos Fernández and Katya Rodriguez-Vazquez: The Clash of Agents’ Worlds: Simulation Experiments for Investigating the Case of Encounters Between Agents With Different Social Ontogenies

Information for Authors

There are two options for submission:

• Full papers: 8-page maximum length and should report on new, unpublished work.
• Extended abstracts: 2-page maximum length and should report on industry experience or previously published work.

Special Sessions are part of the conference main program. Contributions to special sessions undergo the same peer review process as other submissions to the conference and will be included in the ALIFE 2023 conference proceedings.

For more details about the paper template and submission guidelines, please refer to the ALIFE 2023 website.

Important Dates

• Submission deadline (Full paper and extended abstract): 3 March 2023 13 March 2023 (anywhere on earth)

Organising Committee

• Dr Soo Ling Lim (Department of Computer Science, UCL)
• Professor Peter J. Bentley (Department of Computer Science, UCL)