Reflections on the foundations of system dynamics
By George P. Richardson. 2011
472 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/beb8abdce1845f8c5857a75a72ccfaacf616a392
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In Artificial Intelligence
In Computational Theory and Mathematics
In Management Science and Operations Research
Citations in the corpus
- Systems Science Methods in Public Health (2012, unknown): “, population prevalence of an infection) result from the interplay of feedback loops, stocks, and flows that all occur within the bounded endogenous system (121, 130).”
- Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics (2020, background): “System Dynamics (SD) is defined as the process of using both informal maps/diagrams and formal models with computer simulation to uncover and understand the dynamics of complex problems from a feedback perspective (Richardson, 2011).”
- Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context (2020, background): “To uncover and understand feedback processes, SD has developed a series of tools that vary in degree of formalism and are designed to provide insight into different aspects of the complex problems they model [85].”