The design of intelligent agents is greatly influenced by the many different models that exist to represent knowledge. It is essential that such agents have computationally adequate mechanisms to manage its knowledge, which more often than not is incomplete and/or…

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…

Multiagent systems and online communities rely on rating systems to infer the reputation given to an individual within a particular context. The notion of reputation is essential for helping a given individual to trust in other individuals and for being…

Co-training can learn from datasets having a small number of labelled examples and a large number of unlabelled ones. It is an iterative algorithm where examples labelled in previous iterations are used to improve the classification of examples from the…

This article presents the confluence of two general ideas: Defeasible Logic Programming (DeLP, an argumentation based formalism for representing knowledge and reasoning) and Abduction in logic. In first place, we introduce a framework that formally states the problem of doing…

The objective of this paper is the construction of an Essential Object Model for Information Systems. This model is derived from the organization workflows representing the business processes and follows rules described by the methodology proposed. To achieve the desired…

La Universidad Nacional de La Plata tiene como objetivo prioritario la difusión de todo el conocimiento generado en la institución, a fin de devolver a la sociedad parte del esfuerzo invertido en la Universidad pública. Para alcanzar este objetivo se…