A hybrid simulation model for moving objects

Abstract

Following a discussion of the strengths and weaknesses of the current modeling paradigms used for movement simulation in movement ecology, a hybrid simulation model is proposed that jointly exploits the benefits offered by agent-based models (ABM), discrete event simulation (DES), and system dynamics (SD), respectively, while attempting to limit their drawbacks. We describe the transition from a conceptual model of movement to the logical structure that is able to support the hybrid simulation model. We use examples from ornithology to instantiate the components of the logical model. Compared to traditional movement simulation methods such as correlated random walk, the proposed model can provide a more holistic representation of the movement of objects within their environment, while also maintaining the perspective of the individual object. We argue that this multi-level approach and flexibility is possible through the combination of the capabilities of ABM to model interactions among individuals, with the strengths of DES to model discrete events and global rules, and finally with the capacity of SD to model causality and feedback loops. Additionally, the motivation of an individual, being a core driver of movement, has been embedded into the logical simulation model.