A multiagent system (MAS) is made up of multiple interacting autonomous agents. It can be viewed as a society in which each agent performs its activity, cooperating to achieve common goals, or competing for them. Thus, every agent has the…

Little has been written about the component provision problem (programming plans and domain concepts) for the repositories of knowledge in program understanding systems and reports that specifically address this issue are unknown. Model-driven and plan-driven approaches use repositories where construction…

El artículo aborda la problemática de la inserción en la formación profesional de los abogados de temáticas vinculadas con sectores vulnerables y su relación con el Derecho, en particular en lo que hace al sector campesino, la niñez y adolescencia…

El campo de la glicobiología incluye el estudio de los glicoconjugados, las enzimas que catalizan su síntesis y las lectinas que los reconocen. Los monosacáridos, que intervienen en su composición, pueden combinarse en varios puntos y form ar estructuras lineales…

Lawyers often need to look for previous similar legal cases when analysing new ones.
The more previous cases, the more time is spent. Classical search engines execute termbased retrieval, which may miss relevant documents as well as fetch several irrelevant…

This work describes a multi agent system designed to support the management of tacit knowledge that belongs to people of an organization. This is a distributed knowledge management system based on the use of mobile agents, which receive the user's…

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

Nowadays information circulates quickly in a human organization, what generates an internal difficulty in preserving inside the organization essential information to support decision-making. Decision Support Systems (DSS) aiding organizational decision-making, had, up to now, rigid inferences machines restricted to the…

Knowledge representation models are very important in the design of intelligent agents because they provide with mechanisms to manage beliefs and their dynamics. In this paper, we propose the use of AnsProlog* as a knowledge representation language, and develop a…

Whereas traditional explanations of differences in long-run paths of development across the Americas generally point to the significance of differences in national heritage or religion, we highlight the relevance of stark contrasts in the degree of inequality in wealth, human…