The embodiment of the invention relates to a neural belief reasoner. Embodiments of the present disclosure relate to a generation model for unsupervised learning, and more particularly, to a generation model specifying a belief function. Technologies for a neural belief reasoner model generative models that specifies belief functions are described. Aspects include receiving, by a device operatively coupled to a processor, a request for a belief function, and processing, by the device, the request for the belief function in the generative model based on trained probability parameters and a minimization function to determine a generalized belief function defined by fuzzy sets. Data corresponding to the generalized belief function is output, e.g., as a belief value and plausibility value.
NEURAL BELIEF REASONER