Abstract
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.
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References
Cohen, J.E.: Long-run Growth Rates of discrete multiplicative processes in Markovian environments. Journal Math. Anal. and Appl. 69, 243–251 (1979a)
Cohen, J.E.: Random evolutions in discrete and continuous time. Stochastic Proc. Applications 9, 245–251 (1979b)
Iordache, O.: Polystochastic Models in Chemical Engineering. VNU-Science Press, Utrecht (1987)
Iosifescu, M., Grigorescu, S.: Dependence with complete connections and applications. Cambridge Univ. Press, Cambridge (1990)
Krambeck, F.J., Shinnar, R., Katz, S.: Interpretation of tracer experiments in systems with fluctuating throughput. Ind. Engng. Chem. Fundam. 8, 431–444 (1968)
Ogielski, A.T., Stein, D.L.: Dynamics of ultrametric spaces. Physical Review Letters 55, 1634–1637 (1985)
Paladin, G., Mézard, M., De Dominicis, C.: Diffusion in an ultrametric space: a simple case. J. Physique Lett. 46, 1985–1989 (1985)
Pruscha, H.: Learning models with continuous time parameter and multivariate point processes. J. Appl. Probab. 20, 884–890 (1983)
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Iordache, O. (2011). Conventional PSM Frames. In: Modeling Multi-Level Systems. Understanding Complex Systems, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17946-4_3
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DOI: https://doi.org/10.1007/978-3-642-17946-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17945-7
Online ISBN: 978-3-642-17946-4
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