Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4945270 | International Journal of Approximate Reasoning | 2017 | 77 Pages |
Abstract
The first part of this paper develops a formalism for describing continuous-time finite-state stochastic processes that does not require the aforementioned simplifying assumptions. Next, this formalism is used to characterise ICTMC's and to investigate their properties. The concept of lower expectation is then given an alternative operator-theoretic characterisation, by means of a lower transition operator, and the properties of this operator are investigated as well. Finally, we use this lower transition operator to derive tractable algorithms (with polynomial runtime complexity w.r.t. the maximum numerical error) for computing the lower expectation of functions that depend on the state at any finite number of time points.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Thomas Krak, Jasper De Bock, Arno Siebes,