e-space
Manchester Metropolitan University's Research Repository

    Editorial – Agent-Based Modelling for Resilience

    van Voorn, GAK, Polhill, JG, Edmonds, B ORCID logoORCID: https://orcid.org/0000-0002-3903-2507 and Hofstede, GJ (2019) Editorial – Agent-Based Modelling for Resilience. Ecological Complexity, 40 (Part B). p. 100775. ISSN 1476-945X

    [img]
    Preview
    Accepted Version
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (1MB) | Preview

    Abstract

    Socio-Ecological Systems (SESs) are the systems in which our everyday lives are embedded, so understanding them is important. The complex properties of such systems make modelling an indispensable tool for their description and analysis. Human actors play a pivotal role in SESs, but their interactions with each other and their environment are often underrepresented in SES modelling. We argue that more attention should be given to social aspects in models of SESs, but this entails additional kinds of complexity. Modelling choices need to be as transparent as possible, and to be based on analysis of the purposes and limitations of modelling. We recommend thinking in terms of modelling projects rather than single models. Such a project may involve multiple models adopting different modelling methods. We argue that agent-based models (ABMs) are an essential tool in an SES modelling project, but their expressivity, which is their major advantage, also produces problems with model transparency and validation. We propose the use of formal ontologies to make the structure and meaning of models as explicit as possible, facilitating model design, implementation, assessment, comparison and extension.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    576Downloads
    6 month trend
    415Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record