Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773
Adapted from Pawson and Tilley (1997) and Ratze et al. (2007) by Rosie Sadsad for a forthcoming book chapter. Contextual factors, mechanisms and outcomes are conceptualised as holons. Their state may change over time (t) and across levels of organisation (l). Holons are components and form part of a compound holon. Holons are connected by weak or strong links.
Model combining system dynamics and agent based modeling. Based on Prochaska's Transtheoretical Model of Behaviour Change. See also preceding SD Version IM-574
Some AnyLogic Hybrid Model methods and examples taken from Nate Osgood's Bootcamps around 2017 See Nate's AnyLOgic Examples page and links to hybrid examples for more recent videos and examples
This model simulates a waterborne illness spread from a central reservoir. It illustrates the combination of System Dynamics (modeling pathogen levels in the reservoir) and Agent Based Modeling.
Make sure to check out the Map display to see the geographic clustering of disease incidence around the reservoir.
Three Agent Model of IM-14058 with Spatial awareness. Unconscious affective dynamics Josh Epstein's Agent Zero Book webpage Part II p.89 with spatial ABM. See next version at IM-15690
Model combining system dynamics and agent based modeling. Based on Prochaska's Transtheoretical Model of Behaviour Change. See also preceding SD Version IM-574
Visuals of computational methods for dynamic modelling See Systems Science for Health insight launchpad including links to Nate Osgood and KurtK workshop material
Hybrid conceptual mapping of relationships involving system causal loop diagram linked with ABM. Output of the problem conceptualization phase of the modelling process prior to developing a computational hybrid model in AnyLogic. Includes Nate Osgood's O PARTIES extension of Ross Hammond's PARTE. See also earlier Canadian version Insight
Model combining system dynamics and agent based modeling. Based on Prochaska's Transtheoretical Model of Behaviour Change. See also preceding SD Version IM-574
From IM-3533 Grimm's ODD and Nate Osgood's ABM Modeling Process and Courses based on Volker Grimm and Steven F. Railsback's 2012 paper and Muller et al 2013 paper Describing Human Decisions in Agent-based Models – ODD + D, An Extension of the ODD Protocol', Environmental Modelling and Software, 48: 37-48.
Completion of IM-15119 (which added patches to IM-14058). Unconscious affective dynamics Josh Epstein's Agent Zero Book webpage Part II p.89 with 2 agent types, spatial patches and location aware, mobile occupying (blue) agents
Addition of multilevel system dynamics to the context mechanism outcome realist evaluation framework of Pawson and Tilley. See also multilevel holons IM-3546
Artificial Economics Model based on Multi-Avatar Agents following the papers: "An economic experiment to investigate Firms Financial decisions" and "Towards a Multi-Avatar Macroeconomic System"