Course generation enables the automatic assembly of course(ware) adapted to the learner’s competencies and learning goals. It offers a middle way between traditional pre-authored “one-size fits all” courseware and manual resource look-up. Such an assembly requires pedagogical knowledge, represented, for instance, as expert system rules or planning operators. In this article, we describe the cou...

We present the semantics of processes for planning tasks. We target Task-Method-Knowledge (TMK) process models, a widely used formalization of processes. These semantics are formalized by proving that Task-Method-Knowledge (TMK) process models can be translated into equivalent Hierarchical Task Networks (HTNs). We construct a Turing-computable translation function that maps TMK process model co...

The right and left hand Motor Imagery (MI) analysis based on the electroencephalogram (EEG) signal can directly link the central nervous system to a computer or a device. This study aims to identify a set of robust and nonlinear effective brain connectivity features quantified by transfer entropy (TE) to characterize the relationship between brain regions from EEG signals and create a hierarchi...

with regard to the importance of scientific decision-making in power plants prioritization to produce electrical energy (power) from renewable energies (purified), in this paper, research with specialists opinions with respond to questionnaires provided upon three efficient operational criterion in position of three presented power plant in country which used wind, solar water energies for prod...

background: human error is the most important cause of occupational and non-occupational accidents. because, it seems necessary to identify, predict and analyze human errors, and also offer appropriate control strategies to reduce errors which cause adverse consequences, the present study was carried out with the aim of identifying human errors while operating meat grinder and offer suggestions...

The main goal in task planning is to build a sequence of actions that takes an agent from initial state state. In robotics, this particularly difficult because usually have several possible results, and sensors are prone produce measurements with error. Partially observable Markov decision processes (POMDPs) commonly employed, thanks their capacity model the uncertainty modify monitor system. H...