Staged Models for Interdisciplinary Research

@article{Lafuerza2016StagedMF,
  title={Staged Models for Interdisciplinary Research},
  author={Luis F. Lafuerza and Louise Dyson and Bruce Edmonds and Alan J. McKane},
  journal={PLoS ONE},
  year={2016},
  volume={11}
}
Modellers of complex biological or social systems are often faced with an invidious choice: to use simple models with few mechanisms that can be fully analysed, or to construct complicated models that include all the features which are thought relevant. The former ensures rigour, the latter relevance. We discuss a method that combines these two approaches, beginning with a complex model and then modelling the complicated model with simpler models. The resulting “chain” of models ensures some… 

Figures from this paper

Agent-based modelling of socio-ecological systems: Models, projects and ontologies
Systems of Global Governance in the Era of Human-Machine Convergence
TLDR
This note draws foundational parallelisms between neurophysiological systems and ICT-enabled social systems, discussing how frameworks rooted in biology and physics could provide heuristic value in the design of evolutionary systems relevant to politics and economics.
Different Modelling Purposes
  • B. Edmonds
  • Philosophy
    Simulating Social Complexity
  • 2017
TLDR
The paper looks at the ways that a confusion of modelling purposes can fatally weaken modelling projects, whilst giving a false sense of their quality and makes a plea for modellers to be clear concerning which purpose they are justifying their model against.
Correction: Staged Models for Interdisciplinary Research
  • Psychology
    PloS one
  • 2016
TLDR
This research presents a novel probabilistic procedure that allows for direct measurement of the response of the immune system to earthquake-triggered landsliding.
Correction: Correction: Staged Models for Interdisciplinary Research
TLDR
This research presents a novel probabilistic approach to estimating the response of the immune system to laser-spot assisted, 3D image analysis of central nervous system injury.
Getting the Best of Both Worlds? Developing Complementary Equation-Based and Agent-Based Models
We argue that building agent-based and equation-based versions of the same theoretical model is a fruitful way of gaining insights into real-world phenomena. We use the epistemological concept of
References
  • Geographical Modeling
  • 2019

References

SHOWING 1-10 OF 74 REFERENCES
A Complex Model of Voter Turnout (Version 1)
This is intended as a “Data Integration Model” (Edmonds 2010b). That is a consistent, detailed and dynamic description, in the form of an agent-based simulation, of the available evidence concerning
Sociology and Simulation: Statistical and Qualitative Cross‐Validation1
TLDR
Characteristics in time‐series data indicate that a suitable agent‐based model rather than a standard statistical model will be appropriate, and the consequences for many frequently used statistical techniques are discussed.
Is the Voter Model a model for voters?
TLDR
A noisy voter model (accounting for social influence) with recurrent mobility of agents (as a proxy for social context) with spatial and population diversity are taken as inputs to the model, which shows that the dynamics can be described as a noisy diffusive process that contains the proper anisotropic coupling topology given by population and mobility heterogeneity.
Complexity and Context-Dependency
It is argued that given the “anti-anthropomorphic” principle—that the universe is not structured for our benefit—modelling trade-offs will necessarily mean that many of our models will be
Abstracting the Differential Semantics of Rule-Based Models: Exact and Automated Model Reduction
TLDR
A reduction method is constructed which generates (typically) far smaller systems of differential equations than the concrete/canonical one, and it is shown that the abstract/reduced differential system has solutions which are linear combinations of the canonical ones.
Small worlds: the dynamics of networks between order and randomness
  • Jie Wu
  • Computer Science
    SGMD
  • 2002
Everyone knows the small-world phenomenon: soon after meeting a stranger, we are surprised to discover that we have a mutual friend, or we are connected through a short chain of acquaintances. In his
From KISS to KIDS - An 'Anti-simplistic' Modelling Approach
TLDR
A new approach is suggested under the slogan “Keep it Descriptive Stupid” (KIDS) that encapsulates a trend in increasingly descriptive agent-based social simulation that contrasts sharply with the KISS approach.
Automated Abstraction for Rule-Based Multi-Agent Systems
TLDR
The aim of this research is to present a new approach for automatic model abstraction that has been tested on well-known model examples and proved to give advantage by replacing detailed models with simpler ones that are suitable for specific contexts.
On the emergence of an ‘intention field’ for socially cohesive agents
TLDR
It is found that when the social cohesion mechanism becomes too weak, cultural cohesion breaks down completely, in the sense that the distribution of intentions/opinions becomes infinitely broad, and no emerging field exists in this case.
A standard protocol for describing individual-based and agent-based models
...
...