‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models

Ligmann-Zielinska, Arika; Siebers, Peer-Olaf; Magliocca, Nicholas; Parker, Dawn C.; Grimm, Volker; Du, Jing; Cenek, Martin; Radchuk, Viktoriia; Arbab, Nazia N.; Li, Sheng; Berger, Uta; Paudel, Rajiv; Robinson, Derek T.; Jankowski, Piotr; An, Li; Ye, Xinyue

doi:10.18564/jasss.4201

All Outputs (5)

On the quest for defining organisational plasticity: a community modelling experiment (2020)
Journal Article

Purpose - This viewpoint article is concerned with an attempt to advance Organisational Plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the Social Simulation community to drive the process of idea gen... Read More about On the quest for defining organisational plasticity: a community modelling experiment.

Specification testing of agent-based simulation using property-based testing (2020)
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The importance of Agent-Based Simulation (ABS) as scientific method to generate data for scientific models in general and for informed policy decisions in particular has been widely recognised. However, the important technique of code testing of impl... Read More about Specification testing of agent-based simulation using property-based testing.

Using unsupervised learning to partition 3D city scenes for distributed building energy microsimulation (2020)
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An innovative approach to multi-method integrated assessment modelling of global climate change (2020)
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© 2020, University of Surrey. All rights reserved. Modelling and simulation play an increasingly significant role in exploratory studies for informing policy makers on climate change mitigation strategies. There is considerable research being done in... Read More about An innovative approach to multi-method integrated assessment modelling of global climate change.

‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models (2020)
Journal Article

Designing, implementing, and applying agent-based models (ABMs) requires a structured approach, part of which is a comprehensive analysis of the output to input variability in the form of uncertainty and sensitivity analysis (SA). The objective of th... Read More about ‘One Size Does Not Fit All’: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models.