Cultural differences play a very important role in matching computer interfaces to the expectations of users from different national and cultural backgrounds. But to date, there has been little systematic research as to the extent of such differences, and how…

Most formalisms for representing common-sense knowledge allow incomplete and potentially inconsistent information. When strong negation is also allowed, contradictory conclusions can arise. A criterion for deciding between them is needed. The aim of this paper is to investigate an inherent…

The design of intelligent agents is a key issue for many applications. Since there is no universally accepted definition of intelligence, the notion of rational agency was proposed by Russell as an alternative for the characterization of intelligent agency.
A…

Un Sistema Tutor Iteligente (STI) es una aplicación cuyo objetivo se centra en la enseñanza personalizada y su principal característica es la adaptación dinámica de la instrucción de acuerdo al perfil y actividad del alumno, para lo cual incorpora técnicas…

Over the last several years, multidimensional data modeling has had several proposals for its formalisation; on the other hand, the incorporation of fuzzy logic in databases has increased the need to represent uncertainty.
However, to our knowledge, so far projects…

Hoy en día, se puede afirmar, que las organizaciones que son innovadoras son aquellas que construyen y gestionan efectivamente sus recursos intangibles. Así, aparece la necesidad ineludible de proporcionar a las organizaciones los conocimientos que necesitan, donde los necesiten, cómo…

SISPER é o protótipo de um sistema especialista para Psicologia. É um sistema de cunho acadêmico que foi desenvolvido para diagnosticar Distúrbios de Personalidade. As pessoas com Distúrbios de Personalidade, na terminologia técnica, apresentam sintomas aloplásticos e ego-sintônicos, ou seja,…

The success of personal information agents depends on their capacity to both identify relevant information for users and proactively recommend context-relevant information. In this paper, we propose an approach to enable proactive context-aware recommendation based on the knowledge of both…

The purpose of this paper is to describe how some theorems about constructions in categories can be seen as a way of doing generic programming. No prior knowledge of category theory is required to understand the paper.
We explore the…

Associating the pattern in text data with the pattern with time series data is a novel task. In this paper, an approach that utilizes the features of the time series data and domain knowledge is proposed and used to identify…