Conventional PSM Frames
Part of the
Understanding Complex Systems
book series (UCS, volume 70)
The polystochastic models, PSMs, are conceptual tools designed to analyze and manage multi-level complex systems.
PSMs characterize systems emerging when several stochastic processes occurring at different conditioning levels, interact with each other, resulting in qualitatively new processes and systems. The capabilities of random systems with complete connections, RSCC are outlined. The real field frame, developed to enclose multi-level modeling confronts over-parameterization problems.
Examples pertaining to the domains of chemical engineering and material science include mixing in turbulent flow and diffusion on hierarchical spaces.
The challenges of different views for the same phenomenon are pointed out.
KeywordsMarkov Chain Cayley Tree Ultrametric Space Random Evolution Illustrative Case Study
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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