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…

Después de transcurridos más de 10 años desde la primera Lista Roja de la herpetofauna de la República Argentina realizada por la Asociación Herpetológica Argentina en el año 2000, se re-categorizaron las dos especies de caimanes presentes en el país…

Objetivo: Examinar o fenômeno clínico de homicídio seguido de suicídio (HS) a partir de um caso no qual o desfecho de suicídio não ocorreu por motivos alheios á vontade e ás ações do sujeito. Descrição do caso: Trata-se do caso…

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…

Este trabajo ha tenido como objetivo examinar el desempeño en lectura y escritura de niños que asisten a instituciones escolares primarias de la ciudad de La Plata. Su interés radica en la importancia que adquiere alcanzar niveles competentes de alfabetización…

¿Qué es un quiebre epistemológico? ¿Qué implicancias tiene éste en la metodología de la investigación y la Educación Corporal? Pasar de un sesgo “pedagógico y didáctico con que se pensaba a la Educación Física” (Crisorio y otros: proyecto 11/H465) a…

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…

One of the key aspects in the design of an architecture for autonomous agents is the way in which beleifs are revised in the face of new information. An intelligent agent must be prepared to handle new information (be it…

We present a socially inspired approach that allows agents in Multi-Agent Systems to speed up their own learning process through communication. Thereby, they are able to trade off impact of knowledge by mutation dependent on the recent performance of the…

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…