ITS 832 Chapter 5 From Building a Model to Adaptive Robust Decision Making Using Systems Modeling Information Technology in a Global Economy Professor Michael Solomon Introduction • Systems modeling • Focus on decision making abilities • Legacy System Dynamics (SD) modeling • Recent innovations • What the future holds • Examples Systems modeling • Dynamic complexity • Behavior evolves over time • Modeling methods • System Dynamics (CD) • Discrete Event Simulation (DES) • Multi-actor Systems Modeling (MAS) • Agent-based Modeling (ABM) • Complex Adaptive Systems Modeling (CAS) • Enhanced computing supports model based decision making • Modeling and simulation has become interdisciplinary • Operation research, policy analysis, data analytics, machine learning, computer science Legacy System Dynamics Modeling • 1950s – Jay W. Forrester • Primary characteristics • Feedback effects – dependent on their own past • Accumulation effects – building up intangibles • Behavior of a system is explained • Casual theory – model generates dynamic behavior • Works well when • Complex system responds to feedback and accumulation Recent Innovations • Detailed list of individual innovations • Deep uncertainty • Analysts do not know or cannot agree on • Model • Probability distributions of key features • Value of alternative outcomes • Two primary evolutions • Smarter methods (Data Science) • Usability/accessibility advances What the Future Holds • Better models • More data (“Big Data”) • Social media • Advanced capabilities for • Hybrid modeling • Simultaneous modeling Modeling and Simulation Examples • Assessing the Risk, and Monitoring, of New Infectious Diseases • Simple systems model with deep uncertainty • Integrated Risk-Capability Analysis Under Deep Uncertainty • System-of-systems approach • Policing Under Deep Uncertainty • Smart model-based decision support system Summary • Modeling has long been used with complex systems • Recent evolutions have advanced modeling • Increase computing power • Social media and Big data • Sophisticated analytics • Multi-method and hybrid approaches are now feasible • Continued move into interdisciplinary study • Advanced modeling for complex systems ANSWER TO THIS TWO STUDENTS. Jacqueline Kash 9/26/19, 12:06 AM Top of Form · What characteristics of effective written communication lead to quality psychology research writing? Why? Choosing the words that will help people to stay interested in what is being writing. The way your wright the paper that people are reading can also help for people to stay more interest. Like writing a long sentence and then a short sentences can make it easier for people to stay more interested.(Beins & Beins, 2012, p.81) Something that can help the way to keep readers interested is to help your reader to know how to read the part of the paper this helps them to know how to put together that part of the paper with the rest. W.