Abstract—This paper presents a systematic methodology to derive and classify fast algorithms for linear transforms. The approach is based on the algebraic signal processing theor...
Abstract. We propose various models for lobbying in a probabilistic environment, in which an actor (called “The Lobby”) seeks to influence the voters’ preferences of voting ...
This paper presents a theory of runtime enforcement based on mechanism models called MRAs (Mandatory Results Automata). MRAs can monitor and transform security-relevant actions and...
Conventional approach to mathematical description of experiments applies probability theory. Here, another approach is used to express uncertainty based on probability, fuzzy sets...
One objective of distributed artificial intelligence research is to build systems that are capable of cooperative problem solving. To this end, a number of implementation-oriented ...