Carlos Ramírez

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This work presents a general cognitive model for skills and concepts representation and a proposal for computational implementation. The model is intended to help bridge some of the natural problems that arise in current massive education models, through the adaptation and personalisation of learning environments. The model is capable of representing rich(More)
In this work, we consider a homotopic principle for solving large-scale and dense &#x2113;<inf>1</inf> underdetermined problems and its applications. The idea consists of obtaining the solution of the problem by solving a sequence of linear equality constrained multiquadric problems that depends on a regularization parameter that converges to zero. The(More)
This paper describes a suite of tools for extracting conventionalized metaphors in English, Spanish, Farsi, and Russian. The method depends on three significant resources for each language: a corpus of conventionalized metaphors, a table of conventionalized conceptual metaphors (CCM table), and a set of extraction rules. Conventionalized metaphors are(More)
A skill is a basic unit for cognitive processing that allows the use of concepts. A competence is the result of the application of a skill on a concept. Competences and their development play a central role in most educational and training programs. This paper presents a new formal model for the representation of competences in persons and machines, called(More)
In this paper is reported an instantiation of The Memory Map Knowledge Representation model in the domain of education, in order to study more of its properties. The Memory Map was used to model the knowledge domain, also referred to as the expert model of a college course, and the knowledge of each student enrolled in it. The students and expert models(More)
In this work, we consider an homotopic principle for solving large-scale and dense `1-underdetermined problems. The idea consists of obtaining the solution of the problem by solving a sequence of linear equality constrained multiquadratic problems that depends of a perturbed parameter that converges to zero. The procedure generates a “central” path that(More)
Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, but the foundations of CBR are psychological theories. Dynamic Memory (Schank, 1982) was the rst attempt to describe a theory for learning in computers and people , based on particular forms of data structures and processes, that nowadays are widely used in a(More)
Solar tracking concentrators are optical systems that collect the solar energy flux either in a line or spot using reflective or refractive surfaces. The main problem with these surfaces is their manufacturing complexity, especially at large scales. In this paper, a line-to-spot solar tracking concentrator is proposed. Its configuration allows for a(More)