Cross-paradigm simulation modeling: Challenges and successes

Abstract

This paper addresses the broad topic area of cross-paradigm simulation modeling with a focus on the discrete-event, system dynamics and agent-based paradigms. It incorporates contributions from four panel members with diverse perspectives and areas of expertise. First, each paradigm is described and definitions are presented. The difference between the process-oriented worldview and the event-oriented worldview within discrete-event simulation modeling, and the importance of this difference for crossparadigm modeling, are discussed. Following the definitions, discussion of cross-paradigm modeling is given for each pair of these paradigms, highlighting current challenges and early successes in these areas. The basic time-advance mechanisms used in simulation modeling are also discussed, and the implications of these mechanisms for each paradigm is explored.

Modeling of healthcare systems: Past, current and future trends

“…In 2011, Heath et al assembled a discussion panel representing a variety of perspectives on the topic of a hybrid method to use the simulation approaches ABS, SD and DES (Heath et al 2011). They concluded that, despite the progress made in simulation hybridization, a pragmatic modeling methodology and toolkit for developing complete hybrid models was still not well developed.…”

Una comparación cualitativa de la dinámica de sistemas, la simulación de eventos discretos y la simulación basada en agentes

“…Los modelos de simulación discreta pueden desarrollarse a partir de tres enfoques (Heath, Brailsford, Buss y Macal, 2011;Pegden, 2010;Pidd, 2004):…”

Hybrid simulation with loosely coupled system dynamics and agent-based models for Prospective Health Technology Assessments

“…The idea to combine different simulation paradigms into a common environment helps to make complex simulation architectures easily handled and to profit from the advantages of different modeling approaches. Heath et al (2011) presented a discussion focused on cross-paradigm simulation modeling, using Discrete-Event Simulation (DES), System Dynamics (SD) and the Agent-Based (ABS) approach. Advantages and problems had been worked out considering pairs of different paradigms and software packages had been evaluated in light of hybrid simulation modeling.…”