We prove that for any finite deduction structure there exists a unique concise-widest chain-preserved split. Based on this result, we propose a logical splitting strategy which enables an agent to split its belief structure such that all the original inference chains can be preserved. The significance of such logical splitting at least is four-fold: (1) It can be used by an agent to separate it...

Solving belief problems develops as a skill in normal children during the preschool years. To understand this process of development, it is necessary to provide an analysis of the tasks used to test preschool 'theory of mind' skills. This analysis should allow us to relate the structure of a given task to the underlying cognitive mechanisms that the task engages. In two experiments, we find tha...

Predicting the secondary structure of protein is an important step towards obtaining its three dimensional structure and consequently its function. At present, the best predictors are based on machine learning techniques, in particular neural network architectures. We introduce a new architecture called Denoeux belief neural network (DBNN) for the prediction problem. DBNN uses reference pattern...

The effect of educational intervention based on the integrated model health belief with structure social support self-care behaviors during pregnancy

This essay looks at the use of vernacular web culture by new right. Specifically it focuses on how, in recent years, right appropriated a genre aesthetics known as ‘vapourwave’ to create sub-genre ‘fashwave’. Like vapourwave before it, fashwave taps into cultural imaginary that is nostalgic for an imagined ‘cyberpunk’ past future — but while former has been subject monograph (Tanner 2016), very...

In this report, we address the problem of parameter learning for belief networks with fixed structure based on empirical observations. Both complete and incomplete (data) observations are included. Given complete data, we describe the simple problem of single parameter learning for intuition and then expand to belief networks under appropriate system decomposition. If the observations are incom...

The analysis of Dempster-Shafer temporalized structure is performed for the construction of more precise decisions based on the expert knowledge valuations. The relation of information precision is defined on the bodies of evidence. Negative inaccuracy is defined as the stream of rational expert knowledge in DempsterShafer temporalized structure. The principle of negative inaccuracy is develope...