Abstract. Distributed case-based reasoning architectures have the potential to improve the overall performance of case-based reasoning systems. In this paper we describe a collabor...
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Abstract: We present a formal framework to talk and reason about dependable systems. The framework is based on three distinct classes of (system specification) properties we call s...
Zinaida Benenson, Felix C. Freiling, Thorsten Holz...
Abstract. We introduce a uniform framework for reasoning about infinitestate systems with unbounded control structures and unbounded data domains. Our framework is based on constr...
Ahmed Bouajjani, Peter Habermehl, Yan Jurski, Miha...
We present a foundation for a computational meta-theory of languages with bindings implemented in a computer-aided formal reasoning environment. Our theory provides the ability to...
Aleksey Nogin, Alexei Kopylov, Xin Yu, Jason Hicke...