Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
After briefly mentioning the historical background of PLL/SRL, we examine PRISM, a logic-based modeling language, as an instance of PLL/SRL research. We first look at the distrib...
We study computational aspects of a probabilistic logic based on a well-known model of induction by Valiant. We prove that for this paraconsistent logic the set of valid formulas ...
Traditionally, simulation is used to perform probabilistic analysis. However, it provides less accurate results and cannot handle large-scale problems due to the enormous CPU time ...
Modal logics based on Kripke style semantics are the prominent formalismin AI for modeling beliefs. Kripke semantics involve a collection of possible worlds and a relation among t...