Dynamic hybrid modelling: Switching between AB and SD designs of a predator-prey model
Authored by Christian Neuwirth, Gudrun Wallentin
Date Published: 2017
DOI: 10.1016/j.ecolmodel.2016.11.007
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Abstract
Entities and processes in complex systems are of diverse nature and
operate at various spatial and temporal scales. Hybrid agent-based (AB)
and system dynamics (SD) models have been suggested to capture the
essence of these systems in a natural and computationally efficient way.
However, the integration of the equation-based SD and individual-based
AB models is not least challenged by considerable conceptual differences
between these models. Examples of tightly integrated and dynamically
switching hybrid models are rare. The aim of this paper is to expand on
theoretical frameworks of hybrid agent-based and system dynamics models
in ecology to support the model design process of dynamically switching
hybrid models. We suggested six alternative model designs that switched
between the two modelling paradigms. By the example of a fish-plankton
lake ecosystem we demonstrated that a well-designed switching hybrid
model can be a performant modelling approach that retains relevant
spatial and attributive information. Important findings with respect to
optimising computational versus predictive performance were (1) the most
plausible results were produced by a spatially explicit design based on
spatial plankton stocks and fish switching between individual agents and
aggregate school-agents, (2) higher levels of aggregation did not
necessarily result in higher computational performance, and (3)
adaptive, emergence-based triggers for the paradigm switches minimised
information loss and could connect hierarchical and spatial scales. In
conclusion, we argue to reach beyond efficiency-oriented considerations
and use emergent super-individuals as structural elements of dynamically
switching hybrid models. (C) 2016 Elsevier B.V. All rights reserved.
Tags
Agent-based model
Simulation
Integrated assessment
System dynamics
Predator-prey system
Hybrid model
Populations
Individuals
Lake
Multi-paradigmatic modelling
System-dynamics model