No sistema tradicional de ensino e também na grande maioria dos Ambientes Computacionais de Aprendizagem todos os estudantes são avaliados de maneira uniforme independente do seu nível de aquisição de conhecimentos e dos conteúdos abordados. O insucesso recorrente nessas avaliações…

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Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

Knowledge representation models are very important in the design of intelligent agents because they provide with mechanisms to manage beliefs and their dynamics. In this paper, we propose the use of AnsProlog* as a knowledge representation language, and develop a…

This paper presents an overview of a theory of discourse structure, and discusses a model for assimilating text into a frame-based data structure. The model has been applied to the analysis of news articles. The theory assumes sentences contain links…

Traditional scheduling algorithms (using the techniques of PERT charts, decision analysis or operations research) require well-defined quantitative, complete sets of constraints. They are insufficient for scheduling situations where the problem description is ill-defined, involving incomplete, possibly inconsistent and generally qualitative…

After an impressive development throughout the last two decades, supported by a great
amount of research and innovation, science education seemed to be becoming a new scientific domain.
This transformation of Science Education into a specific field of research and…

Los modelos de ciclo de vida actuales tienden a presentar, normalmente, cierta linealidad en su dinámica asociada. El presente trabajo tiene por objetivo, a través de interrelacionar diversas áreas del conocimiento, mostrar que el continuum, casi siempre, no se corresponde…

In this work we present an approach to model an action-oriented system controlled by BDI agents using a defeasible argumentation formalism to represent its knowledge. Here, our main concern will be modelling the software agents that drive the physical robots.

The Frame Representation Language (FRL) is an experimental language written to explore the use of frames as a knowledge representation technique. The term 'frame' as used in FRL was inspired by Minsky's [75] development of frame theory. FRL extends the…