7th International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB'25)
Dr Soo Ling Lim
University College London s.lim@cs.ucl.ac.uk
Prof. Peter J Bentley
University College London p.bentley@cs.ucl.ac.uk
This workshop 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.
Goal-Directed behavior in living and non-living systems II
Richard Löffler,
University of Copenhagen,
Miguel Aguilera,
Basque Center for Applied Mathematics,
Martin Biehl,
Cross Labs, Cross Compass,
Omer Markovitch,
Instituto Superior Técnico,
This workshop focuses on what it means for a system to display goal-directed behavior (GDB) , emphasizing how GDB can be described using tools from information theory, thermodynamics, and Bayesian statistics. Understanding GDB would help understand the gap between the seemingly purposeless universe of nonliving matter and the goal-filled world of life.
We welcome submissions related GDB, including (but not limited to):
- What is the information content of goals and who or what makes use of this information?
- When is it justified to describe a nonliving physical system as exhibiting GDB?
- What are the minimal components driving GDB?
- Is it possible to construct systems, whether in vitro or in silico, that exhibit GDB? What is the role of GDB in life?
- How can goal-directedness emerge?
- How is goal-directedness related to causality?
- When is it justified to speak of a goal-directed system within a dynamical system for example a cellular automaton, a reaction diffusion system, or a chemical network?
- Can goals be seen as secret keys to deciphering the behavior of systems?
Please check the workshop website for further information:
WEBSITEALife in Organizations: Navigating Societal Transitions Through Co-Creation
Gary Linnéuson gary.linneusson@his.se
Dept. of Industrial Eng. and Management, School of Engineering Science, University of Skövde, Skövde, Sweden,
Asimina Mertzani,
Dept. of Electrical & Electronic Eng., Imperial College London, London, UK
Nathan Lloyd,
Fac. of Business and Information Tech., Ontario Tech University, Oshawa, Canada
Modern organizations face increasing pressure to adapt to complex societal transition challenges — challenges that demand new forms of collaboration and decision-making. Climate change, demographic shifts, energy transitions, and digital transformation are driving the need for organizations to reconfigure their structures, goals, and strategies.
In this evolving landscape, organizations can no longer operate in isolation. Instead, they must improve their capacity to orient themselves in dynamic environments, balancing internal adaptability with increased awareness of their interactions with surrounding systems. Achieving this requires developing both:
- Micro-level (bottom-up) capabilities — empowering local teams, departments, and individuals to self-organize and respond to change in real time.
- Macro-level (top-down) capabilities — strengthening collective goals, systemic awareness, and strategic alignment to steer broader transformation.
Addressing these challenges requires new approaches that integrate insights from Artificial Life (ALife), complexity science, and cybernetics to navigate wicked problems, where we believe expanded understanding around concepts such as the following can be fruitful:
- Relational interfaces — the boundaries where internal organizational processes intersect with external societal systems. Expanding these interfaces is crucial to enhancing adaptability and unlocking new collaboration spaces across stakeholder groups.
- Co-creation arenas — emergent spaces that foster collaboration by identifying and connecting shared challenges, fostering collective goals, and creating conditions for constructive dialogue and innovation.
- Generative AI and Multi-Agent Systems — as potential tools to increase self-organizing capacities, enabling systems to dynamically adapt while balancing structure and flexibility.
We welcome submissions from diverse disciplines — including computer science, complexity science, organization theory, and systems thinking — as well as practitioners working on societal transition challenges.Our aim is to create a space for transdisciplinary dialogue, where participants collectively explore new strategies for enhancing adaptive capacity, maneuverability, and collaborative problem-solving in complex socio-technical environments.
Join us in Kyoto at ALife 2025 to explore how ALife principles can foster self-adaptiveness and co-creation in organizations — and beyond.
Emergence and evolution of language and communication
Reiji Suzuki, Nagoya University (reiji@nagoya-u.jp)
Tadahiro Taniguchi, Kyoto Universit (taniguchi@i.kyoto-u.ac.jp)
Ryo Ueda, The University of Tokyo (ryoryoueda@is.s.u-tokyo.ac.jp)
The emergence of language and communication has been a major themein artificial life research, beginning with studies on the evolution of communication protocols (Werner and Dyer 1991), naming games(Steels, 1995), and iterated learning (Kirby, 2001), with methodologies that have expanded across multiple fields including robotics, linguistics, cognitive science, evolutionary theory, philosophy, and complex systems sciences.
In recent years, the rapid advances of large language models have enabled artificial intelligence with sophisticated language processing capabilities, heightening expectations for AGI. However, numerous challenges remain concerning the origins of language—the source of"intelligence"—and its grounding in the real world.
To address these challenges, research on "Emergent Communication,"which approaches from a constructive perspective based on technological progress in deep learning and large language models, has gathered attention. Emergent Communication aims to model the process of language emergence and evolution. It is an interdisciplinary field where various research domains intersect, such as symbol emergence robotics, language evolution, and multi-agent reinforcement learning for communication.
This workshop aims to provide an interdisciplinary forum where researchers from various fields can gather to share and discuss the latest research findings on symbol emergence, emergence of communication, and language evolution. We hope to return to the foundational principles of artificial life research while integrating cutting-edge technologies. Through this, we seek to explore new research questions and strengthen cross-disciplinary collaboration.
WEBSITECultural Evolution of Planet X: Emergent Creativity and Wisdom of the Crowds
Dr. Suet Lee, University of Konstanz, Germany
Khulud Alharthi, University of Bristol, UK
Dr. Michael Chimento, University of Konstanz, Germany
Dr. David Garzón Ramos, University of Bristol, UK
Dr-Ing. Heiko Hamann, University of Konstanz, Germany
Prof. Sabine Hauert, University of Bristol, UK
Culture can be broadly defined as shared behaviours, values, beliefs, adaptive strategies, traits, or ideas that are passed from generation to generation via social learning. In particular, culture is not fixed but evolves over time in response to external and internal pressures, including transmission biases, cognitive transformation, and social structures and processes. Examples of cultures evolved in natural systems include vocal learning (e.g., bird or whale songs), nest building, tool manufacture and use, foraging behaviour, and movement.
Cultural evolution, therefore, is a powerful metaphor and framework to model and design adaptation mechanisms in complex systems across scales. It offers the potential to evolve the individual agents through quasi-global cultural knowledge. Falling under the branch of evolutionary algorithms, there are also intriguing links to artificial creativity and open-ended learning. For example, creative mediums such as music and language have evolved through the substrate of culture in animals.
We are interested in the relationship between biological and artificial cultures: can the cultural models evolved in robot swarms produce a plausible model for animal systems? On the other hand, can insights from how culture evolves in animal systems help us harness cultural evolution as a tool for learning and creativity in robot swarms? These are some of the questions we aim to highlight in an interactive and informal workshop setting. We hope to find synergies and spark collaboration between disciplines in the context of cultural evolution.
WEBSITETomas Veloz, tveloz@gmail.com
This workshop explores one of the core questions in ALIFE foundations: What is goal-directedness in complex systems. The particular perspective is looking trough this question through the lens of matter-information interplays, and looking especially at metasystem transitions. The latter answers to the fact that this is often treated separately: e.g. biochemical models effectively explain cellular growth but overlook information processing, while information-centric approaches neglect physical embodiment.
Following speakers will take part in the workshop:
1) Tomas Veloz (VUB-UTEM, Belgium-Chile)
Title: Matter-Information interplays forming chemical organizations
2) Stefan Leijnen (HU, The Netherlands)
Title: From Emergent Constraints to Transformational creativity
3) Raphael Liogier (Sciencespo-UM6P, France-Morocco),
Title: Can Process-Ontology rescue Purpose from Complex Adaptive Systems
4) Olha Sobetsky (VUB)
Title: Irrationality and Creativity in human and AI decision-making
5) TBA
6) TBA
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