In the following lectures we shall develop and explore a general theoretical framework derived from information theory to study practical dynamical prediction from the viewpoint of analyzing the time flow of uncertainty. Here we review the practical aspects of this problem. There are two important dynamical systems which have convincingly demonstrated practical predictability. The first is the ...

Abstract Scriven’s paradox of predictability arises from the combination two ideas: first, that everything in a deterministic universe is, principle, predictable; second, it is possible to create system falsifies any prediction made it. Recently, has been used by Rummens and Cuypers argue there fundamental difference between embedded external predictors; Ismael against governing conception laws...

quantitative relationships between molecular structure of forty eight aldehyde compounds with their known cathepsin k inhibitory effects were discovered by partial least squares (pls) method. evaluation of a test set of 10 compounds with the developed pls model revealed that this model is reliable with a good predictability. since the qsar study was performed on the basis of theoretical descrip...

This paper gives a decentralized approach to the problem of failure prognosis in the framework of fuzzy discrete event systems (FDES). A notion of co-predictability is formalized for decentralized prognosis of FDESs, where several local agents with fuzzy observability rather than crisp observability are used in the prognosis task. An FDES is said to be co-predictable if each faulty event can be...

Achieved motor movement can be estimated using both sensory and motor signals. The value of motor signals for estimating movement should depend critically on the stereotypy or predictability of the resulting actions. As predictability increases, motor signals become more reliable indicators of achieved movement, so weight attributed to sensory signals should decrease accordingly. Here we descri...

Predictability is a key property allowing one to expect in advance the occurrence of a fault in a system based on its observed events. Existing works give a binary answer to the question of knowing whether a system is predictable or not. In this paper, we consider discrete event systems where probabilities of the transitions are available. We show how to take advantage of this information to pe...