5 papers
Empirical behavioural heterogeneity shapes the dynamics of an agent-based land use model
Ronja Hotz, Thomas Schmitt, Calum Brown +2
Land use models often represent decision-makers as homogeneous and rational, overlooking socio-psychological diversity and potentially generating rapid, coordinated land use respon…
Agentic World Analysis (AWA) - an alternative way to explore systems and support decision making
Yongchao Zeng, Alexey Voinov, Calum Brown +2
To address increasingly pressing sustainability challenges, various approaches have been developed to foresee possible futures, identify failure modes, detect vulnerabilities, and…
Modelling Socio-Psychological Drivers of Land Management Intensity
Ronja Hotz, Calum Brown, Yongchao Zeng +2
Land management intensity shapes ecosystem service provision, socio-ecological resilience and is central to sustainable transformation. Yet most land use models emphasise economic…
Simulating multiple human perspectives in socio-ecological systems using large language models
Yongchao Zeng, Calum Brown, Ioannis Kyriakou +2
Understanding socio-ecological systems requires insights from diverse stakeholder perspectives, which are often hard to access. To enable alternative, simulation-based exploration…
Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles
Yongchao Zeng, Calum Brown, Mark Rounsevell
Large language models (LLMs) have been increasingly used to build agents in social simulation because of their impressive abilities to generate fluent, contextually coherent dialog…