Although System Dynamics modelling is sometimes referred to as data-poor modelling, it often is –or could be– applied … data in System Dynamics, and sheds light on the modelling phases for which data science is most useful. Finally, it … provides several examples of current applications in which big data, data science, and System Dynamics modelling and simulation …

through the comparison of simultaneous and sequential estimation, modelling tail credit risk using transition matrices …

potentials and the critical limitations of current approaches in the fields of simulation modelling (SM), public participation … proposal is presented, called NetSyMoD (Network Analysis Creative System Modelling Decision Support), which aims at … Modelling; (iv) DSS design; (v) Analysis of Options; and (vi) Action taking and monitoring. Several variants of the NetSyMoD …

Presentation by Professor Louise Young of the University of Western Sydney at the Agent-Based Modelling Intensive …-based modelling and simulation will greatly assist the research into these systems. Areas covered include the dynamics and evolution …

Management (UNSW) at the Agent-Based Modelling Intensive Course Wednesday Colloquium, held at The University of Sydney Business …

Presentation by Associate Professor David Earnest from Old Dominion University (U.S.A.) at the Agent-Based Modelling … introduction to complexity, the types of complexity, and how agent-based modelling can be used to understand complex systems. …

There has been an abundance of literature on the modelling of hydrocyclones over the past 30 years. However, in the …