This paper uses two thought experiments to argue that the complexity of the systems to
which agent-based models (ABMs) are often applied is not the central source of difficulties …

We respond to the recent JASSS article on COVID-19 and computational modelling. We
disagree with the authors on one major point and note the lack of discussion of a second …

The idea that human impacts on natural systems might trigger large‐scale, social–ecological
'crises' or 'breakdowns' is attracting increasing scientific, societal and political attention, but …

This paper looks at the tension between the desire to claim predictive ability for Agent-Based
Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that …

Researchers have become increasingly interested in the potential use of agent-based
modelling for the prediction of social phenomena, motivated by the desire, first, to further …

The essence of a model is that it relates to something else–what it models–even if this is
only a vague or implicit mapping. Otherwise a model would be indistinguishable from any …

We advocate the development of a discipline of interacting with and extracting information
from models, both mathematical (eg game-theoretic ones) and computational (eg agent …

Social media have become an important source of information for many of the billions of
people who use internet on a regular basis. Pundits and scholars have warned for various …

This article is a response to the call for action to the social simulation community to
contribute to research on the COVID-19 pandemic crisis. We introduce the ASSOCC model …

The place of modelling in informing policy has been highlighted by the Covid-19 pandemic.
In the UK, a specific individual-based epidemiological model, that developed by Neil …