Modelling and Simulating Decision Processes of Linked Lives - An Approach Based on Concurrent Processes and Stochastic Race

Warnke, Tom and Reinhardt, Oliver and Klabunde, Anna and Willekens, Frans and Uhrmacher, Adelinde M. (2017) Modelling and Simulating Decision Processes of Linked Lives - An Approach Based on Concurrent Processes and Stochastic Race. Population Studies, 71 (sup1), pp. 69-83. ISSN 0032-4728 (print) 1477-4747 (online).

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Official URL: http://dx.doi.org/10.1080/00324728.2017.1380960

Abstract

Decision processes of individuals play a central role in understanding modern migration phenomena and other demographic processes. Their integration into agent-based computational demography depends largely on a suitable support by the modelling language. The development of the domain specific modelling language Modelling Language for Linked Lives (ML3) aims at succinctly describing the diverse decision processes of linked lives in continuous time. The context of individuals is modelled by networks the individual is part of, e.g., family ties, linked lives, other social networks, or also the itinerary during migration. Other central concepts such as behaviour conditional on agent attributes, age-dependent behaviour, and stochastic waiting times are tightly integrated in the language. Thereby, alternative decisions are modelled by concurrent processes that compete by stochastic race. Using a migration model, we demonstrate how this allows for a compact description of complex decisions, in this case based on the Theory of Planned Behaviour. We describe the challenges for the simulation algorithm posed by stochastic race between multiple concurrent complex decisions.

Item Type: Article
Projects: MoSiLLDe