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Collective Decision-making through Multiple Criteria Determination and Preference Aggregation and Disaggregation Methods.

Group Decision Support Systems (GDSS) can be essential in situations in which multiple persons are involved, each having their own private perceptions of the context and the decision problem to be tackled. Multiple criteria decision aid (MCDA) methods may be a useful tool in coping with such interpersonal conflicts, being required occasionally the preference aggregation and disaggregation methods to achieve consensus amongst the group members.

Classifiers Ensemble Selection.

When a ensemble of classifiers is generated it has been shown that pruning it into a small number has better results. This article presents a review of some of the existing classifiers selection methods, both static and dynamic.

Métodos y algoritmos determinísticos de inferencia aproximada en Redes Bayesianas.

Existen dos grandes formas de tratar con inferencia en una Red Bayesiana: exacta o aproximada. En este artículo se pretende realizar una revisión de técnicas y algoritmos de este último tipo propuestas hasta la actualidad, particularmente aquellas consideradas determinísticas, las cuáles buscan reducir de alguna forma los cálculos requeridos para llevar a cabo esa tarea introduciendo simplificaciones en el modelo original.

Engineered Bacteria and Nanotechnology – Different Approaches for the Common Goal of Removing Tumor Cells.

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Fuzzy Logic and Neurofuzzy System Technology for Stock Exchange Trading Strategy.

This paper aims to present two distinct approaches to stock exchange trading based on fuzzy logic and neurofuzzy system technologies. The first approach introduces an intelligent decision-making model, based on the application of Fuzzy Logic and Neurofuzzy System (NFs) technology. And the second approach employs pattern classification methods using Artificial Neural Networks (ANNs), Fuzzy Inference Systems as well as Adaptive Neurofuzzy Inference Systems.

Nanorobots Destroying Tumors – New Perspectives on Cancer Treatment.

In this article a simulation is exposed and explained in which a group of multi-agent nanorobots, after having been injected into a human body, search for a tumor in it and, as soon as they discover it, they gather and destroy it.

Ontology Information Retrieval through Natural Language Interfaces.

In this article it is discussed the need to have a more user-centric attitude regarding the ontology retrieval information if our aim is to universalize this kind of knowledge representation, and to this end two approaches are introduced which follow this line of research: FREyA, an English natural language interface developed in the Department of Computer Science of the University of Sheffield; and a German natural language interface developed in the University of Applied Sciences RheinMain in Germany.

The Winograd Schema Challenge – A Step beyond the Turing Test.

In this paper the Winograd Schema (WS) Challenge is explained: an alternative to the Turing test -the Imitation Game.The Winograd Schema Challenge is a test of machine intelligence proposed by Hector Levesque, a computer scientist at the University of Toronto, in 2011. It is a multiple-choice test that involves responding to typed English sentences of a very specific structure: they are instances of what are called Winograd Schemas.

Natural Language Processing for Human-Robot Interaction.

It would simply reinforce what is evident, if it were stated: "Robots are becoming an essential part in our daily lives". Currently the use of robots in several and different industries is widespread. Nonetheless, how do we communicate and interact with robots? If robots are playing gradually a more important role in our day-to-day routines, we will have to develop humanlike dialogue-processing mechanisms to ease that interaction.