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…

In this work we analyze the problem of knowledge representation in a collaborative multi-agent system where agents can obtain new information from others through communication. Namely, we analyze several approaches of belief revision in multi-agent systems. We will describe different…

This paper explores the relation between society, family, and learning. In particular, it addresses the features of home literacy environments in low income families and their impact on children's pre-literacy skills and knowledge. Sixty-two four/five-year-old children and their mothers were…

In this paper, we present a new model of an artificial
immune system (AIS), based on the process
that suffers the T-Cell, it is called T-Cell
Model. It is used for solving constrained (numerical)
optimization problems. The model operates
on…

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…

The theropod material of the Bauru Basin consists mainly of isolated teeth, bone elements being rare, generally isolated and fragmented. The best known theropod of the unity is Pycnonemosaurus nevesi, an abelisaurid described based on some fragmented elements. An ungeal…

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…