Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no computers and are not able…

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…

This paper presents a proposal for an architecture that integrates knowledge discovery systems (automatic acquisition) and knowledge based systems (experts systems). This work formulates considerations over the viability of the implementation of this architecture according to the advance of the…

In this work two declarative approaches based on the BDI theory are studied, an agent programming language 3APL and an agent architecture that uses defeasible argumentation for knowledge representation and reasoning. Based on that study and considering that in 3APL…

The production of educational contents in academic environments has been traditionally developed without an integral plan which allows their adequate distribution and access. In addition, it produces effort duplication and misuse of resources. As a possible solution, this work proposes…

The appearance and continuous growth of virtual communities on the web imposes the challenge of coping with the large amount of information and knowledge these communities produce. The Semantic Web with its set of standards and technologies provides the basic…

This work belongs to the Project "Teaching and learning Psychology: a study of the educational practice in professors and beginners". It is part of an investigation program developed in the context of the subject "Didactic and Practical Planning of Psychology…

The Intellectual Creation Diffusion Service (SeDiCi) of the UNLP was created with the main objective of communicating to the society all the knowledge acquired in different academic fields of our university. This is how we can return all the efforts…

Defeasible Logic Programming (DeLP) is an extension of Logic Programming capturing common-sense reasoning features. The DeLP language can manage defeasible reasoning, allowing the representation of defeasible and non- defeasible knowledge. Since DeLP syntax is based on a PROLOG-like notation, the…

Negative information can be represented in several classes of logic programs. These approaches were first motivated by the search for an appropriate declarative semantics for negation as failure. Recently, some formalizations of monotonic negation were also introduced in logic programming…