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…

Surfaces of buildings at the archaeological site of Palenque, Mexico, are colonized by cyanobacteria that form biofilms, which in turn cause aesthetic and structural damage. The structural characterization and species composition of biofilms from the walls of one of these…

AIM:

This paper seeks to add to the debate regarding children as researchers by exploring the reality of their participation in research.

BACKGROUND:

As the role children and young people play in knowledge building is…

To assess role-playing as a methodology in the teaching-learning process for the Nursing Degree. To identify the attitude of nursing students towards role-playing. To analyze the response of students to their teaching-learning process after role-playing. Relationship is one of the…

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…

My dissertation centers on the meaning of dreams as interpreted by literati in the late Ming (1368-1644), viewed through the lens of the 1636 encyclopedia Forest of Dreams. This thirty-four-juan tome is the largest extant Chinese dream encyclopedia and includes…

Most Natural Language Processing (NLP) systems traditionally use a sequential architecture that represents the classical linguistic levels (lexical-morphological, syntactical, semantic, etc.), but they claim for huge and monolithic modules, that make the backtracking among such modules difficult. By using a…

Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

Current reasoning systems attempt to model an agent's knowledge and interaction with its environment in a symbolic manner. This environment, its world is generally dynamic and changing due to natural evolution or the actions of other agents that are a…

There exists a large amount of knowledge representation models. But most of them have significant limitations at the epistemic level. They do not have explanatory power. Most of them do not have means to represent some functional needs to work…