Since 1972, Jay Forrester and colleagues at MIT have been evolving the System Dynamics National Model (SDNM). The purpose of this model is to guide policy makers in dealing with today's major problems. The ambitious scope of the project motivates careful examination of modeling practices and ...
Lessons from software testing for developing behavioral tests of dynamic models In the software development process, formalization of system behavior is commonplace - this is the discipline of Software Testing. This paper builds upon existing system dynamics literature to characterize various types of beha...
The TimeGeo modeling framework for urban mobility without travel surveys. Proc. Natl Acad. Sci. USA 113, E5370–E5378 (2016). Article Google Scholar Xu, Y. et al. Urban dynamics through the lens of human mobility. Nat. Comput. Sci. 3, 611–620 (2023). Article Google Scholar Hasan...
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Xiao R, Zayed T, Meguid MA, Sushama L. Improving failure modeling for gas transmission pipelines: a survival analysis and machine learning integrated approach. Reliab Eng Syst Saf. 2024;241:109672.https://doi.org/10.1016/j.ress.2023.109672. ...
barriers stemming from jurisdictional responsibilities, program rules, and funding are in-part an outcome of agency “siloization” and resistance to change, as well as fragmented responsibility inherent to the U.S. federalist system (Steelman2016). Despite recent Forest Service initiatives to advance...
The first HF computer modeling study by Priebe and Beuckelmann [21] showed how spontaneous Ca2 + release from the sarcoplasmic reticulum can trigger a premature action potential in single failing myocytes but not in normal myocytes, due to a greater INCX. However, DADs are not likely to ...
the ways in which the agents interact, and the environment in which they interact (e.g., adding different selection pressures). The computational models can explore scenarios that are not possible with modern humans and the human subjects experiments can validate the computational modeling approach....
namely self-reports on key affective-motivational states and weekly blog post assignments. Findings from this small course setting point to the possibility that AI-augmented feedback may play a role in supporting learner self-efficacy, sense of belonging, and burnout. Results of qualitative inquiries...