6533b7d9fe1ef96bd126d657

RESEARCH PRODUCT

Models of Dynamical Modelling Under Uncertainty

Rafael Pla-lopez

subject

Random systemsComputer scienceProbabilistic logicApplied mathematicsRandom modelRelative weightDiscrete modellingUncertainty analysis

description

The objective of this work is to modelize the evolution of a Model-System to be adapted to a Random System. This evolution is described by means of the change of a probabilistic function, through deterministic rules and in function of the random responses of the modelized System. This probabilistic function can describe the relative weight of distinct submodels (deterministic or random Systems, with constant or variable stimulus), or the stimulus-response relation in the Model-System (Adaptative Random System). We conclude that the Adaptative Random Model permits a more precise, simple and economical modelling.

yearjournalcountryeditionlanguage
1986-01-01
https://doi.org/10.1007/978-94-009-4634-7_15