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…

In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the goal is to find…

Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory informa- tion. All such formalisms are computationally demanding. Hence, optimizing argumen- tative systems has been approached from di erent views.

In a production system it is usual to stress minimum tardiness to achieve higher client satisfaction.
According to the client relevance, job processing costs and requirements, and various other considerations, a weight is assigned to each job. An important, non-trivial,…

Modeling is one of the most important activities throughout any software development life cycle. Within object-oriented modeling, class generalization is a powerful, yet simple concept for abstracting commonalities between classes. Although, as classes evolved in the model, their semantics may…

The aim of this work is to study an argumentation-based formalism that an agent could use for constructing plans. Elsewhere we have introduced a formalism for agents to represent knowledge about their environment in Defeasible Logic Programming, and a set…

El objetivo de esta investigación es el estudio de la problemática de inconsistencia que pueda aparecer en los Sistemas Basados en Conocimiento (SBC). Los SBC pueden ser clientes de muchas fuentes de información, y estas pueden contener información inconsistente al…

Este artigo apresenta urn ambiente para o desenvolvimento e uso de Sistemas Especialistas que funciona no ambiente operacional Microsoft Windows e que portanto utiliza os recursos de interface convencionais deste ambiente operacional. O sistema foi desenvolvido comotrabalho de conclusao do…

The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML applications have been developed, such as datamining programs, information-filtering systems, etc. Although ML…

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…