A synchronous system model is a simple yet powerful distributed system model that reduces the complexity of the design and implementation of dependable distributed applications. H...
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
— Cellular Automata (CAs) have been investigated extensively as abstract models of the distributed systems composed of autonomous entities characterized by local interaction. How...
It is "well known" that in linear models: (1) testable constraints on the marginal distribution of observed variables distinguish certain cases in which an unobserved ca...
Abstract. We derive a continuous probability distribution which generates neighbours of a point in an interval in a similar way to the bitwise mutation of a Gray code binary string...