In this paper, the minimization of incompletely specified multi-valued functions using functional decomposition is discussed. From the aspect of machine learning, learning sample...
Craig M. Files, Rolf Drechsler, Marek A. Perkowski
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
In the past decades, many formal frameworks (e.g. timed automata and temporal logics) and techniques (e.g. model checking and theorem proving) have been proposed to model a real-ti...
Jinfeng Huang, Marc Geilen, Jeroen Voeten, Henk Co...
We describe Thor (Tool for Heap-Oriented Reasoning), a tool based on separation logic that is capable of reasoning automatically about heap-manipulating programs. There are several...
Stephen Magill, Ming-Hsien Tsai, Peter Lee, Yih-Ku...
Abstract. This paper offers a formalization of iterated belief revision for multiagent communication using the logic of communication graphs introduced in [15]. In this study we co...