The aim of this work is to relate two apparently independent concepts as belief revision and relevance. We propose a formal characterization for the notion of (ir)relevance by means of a set of postulates. Then we define (ir)relevance using change…

To find a good termination criterion for genetic algorithms is a difficult and frequently ignored task. In most instances the practitioner stops the algorittm after a predefined number of generations or function evaluations. How this number is established? This stop…

The development of isolated agents involves the manipulation of components such as actions, mental attitudes and decisions. Multi-agent systems have to deal with these components from different agents, without to forget the privacy and autonomy of each agent. For programming…

We identify different kinds of relevance relations between formulas that emerge in the process of belief revision. Informal definitions for alternative notions of relevance are suggested and a set of schemas and intuitive postulates for formalizing these notions are proposed.

Los agentes pueden definirse como componentes de software (programas) activos que perciben, razonan y se comunican a través de un protocolo predefinido. Muy generalmente, como en el caso de la World Wide Web, los agentes no son desarrollados en aislamiento…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

En este trabajo se formula una propuesta de arquitectura de integración entre sistemas de descubrimiento de conocimiento (adquisición automática) y sistemas basados en conocimiento (sistemas expertos). Se formulan consideraciones sobre la viabilidad de implementación de dicha arquitectura en función de…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…