This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication,…

In systems where agents are required to interact with a partially known and dynamic world, sensors can be used to obtain further knowledge about the environment. However, sensors may be unreliable, that is, they may deliver wrong information (due, e.g.,…

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…

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…

La investigación universitaria es una de las actividades que realiza las funciones de:
generación, transmisión, difusión y explotación del conocimiento. Esta línea de investigación aborda la necesidad de gestionar la investigación universitaria desde la perspectiva de la gestión del Capital…

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with…

The evolution of Television as a source of information has reached the top of quality whith the Interactive Digital Television (TVDi), a technological step that allow users to become active from pasive. TVDi program is, on informatic terms, a software…

As many authors have stated, the importance of organizational learning is fundamental in order to gain competitive advantage and survive in a turbulent environment. Many learning models have been studied in recent years. They have been used to analyze practices…

Este artigo tem por objetivo apresentar parte do estudo realizado sobre sintonia de performance de banco de dados que consiste em levantar e propor um conjunto de regras que melhore o desempenho de aplicações de banco de dados. São apresentadas…

Artificial Intelligence deals with the challenge of modeling commonsense reasoning. In the last fifteen years argument-based systems have came forward to meet this challenge as knowledge representation and reasoning tools able to model incomplete and conflicting information. We believe that…