This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncer...
In this paper, we extend the QMR-DT probabilistic model for the domain of internal medicine to include decisions about treatments. In addition, we describe how we can use the comp...
Most AI diagnostic reasoning approaches model components and but not their interconnections, and when they do model interconnections, they model the possibility that a connection ...
Despite the relevance of the concept of role for conceptual modeling and agent-orientation, there is still in the literature a lack of consensus on the meaning of this notion and h...