This article introduces a formal model to specify, model and validate hierarchical complex systems described at different levels of analysis. It relies on concepts that have been developed in the multi-agentbased simulation (MABS) literature: level, influence and reaction. One application of such model is the specification of hierarchical complex systems, in which decisional capacities are dyna...

We review two similar concepts of hierarchical rank of tensors (which extend the matrix rank to higher order tensors): the TT-rank and the H-rank (hierarchical or H-Tucker rank). Based on this notion of rank, one can define a data-sparse representation of tensors involving O(dnk + dk 3) data for order d tensors with mode sizes n and rank k. Simple examples underline the differences and similari...

This paper is an overview of the current research on hierarchical control of discrete-event systems. Four major approaches are identified and described: bottom-up design, top-down design, state aggregation, and interface-based design. The research examined is grouped into these sections, in an attempt to unify the terminology and concepts where possible without an in-depth theoretical investiga...

Currently existing graph grammar-based speciication languages have serious problems with supporting any kind of \speciication-in-the-large" activities. More precisely , they have deeciences with respect to modeling hierarchical data structures or specifying meta activities like manipulation of graph schemata. Furthermore, already proposed graph grammar module concepts are still too abstract to ...

In 1987, the function chart "GRAFCET" was endowed with two new concepts intended to supplement the IEC 848 Standard : the macro-step and the forcing order. In this paper, our field of interest is the forcing order and more particularly the hierarchy between partial grafcets which is engendered. Initially, we describe the basic principles of the forcing order and of the hierarchical structure of...

This paper presents a method for clustering a set of symbolic data where individuals are described by symbolic variables of various types: interval, categorical multi-valued or modal variables, which take into account the variability or uncertainty present in the data. Hierarchical and pyramidal clustering models are considered. The constructed clusters correspond to concepts, that is, they are...

Most theories of analogical transfer focus on similarities between the learning and transfer domains, where transfer is more likely between domains that share common surface features, similar elements, or common interpretations of structure. We suggest that characteristics of the learning instantiation alone can give rise to different levels of transfer. We propose that concreteness of the lear...

We developed a method to control the structure of CdTe nanowires by adopting Bi-mixed CdTe powder source to a catalyst-assisted chemical vapor deposition, which allowed us to fabricate CdTe/CdS hierarchical nanostructures. We demonstrated that diverse nanostructures can be grown depending on the combination of the Bi powder and film catalysts. As a proof of concepts, we grew CdTe/CdS branched n...

There are several problems that have been studied by Bioinformatics and one, which stands out, is the prediction of the proteins functions. This paper shows a novel solution for hierarchical classification problems based on Learning Classifier Systems. The algorithm proposed HLCS-Flat was designed to work with the protein functions prediction in structured ontologies in the form of a directed a...

Auditing biomedical terminologies often results in the identification of inconsistencies and thus helps to improve their quality. In this paper, we present a method based on Semantic Web technologies for auditing biomedical terminologies and apply it to the NCI thesaurus. We stored the NCI thesaurus concepts and their properties in an RDF triple store. By querying this store, we assessed the co...