El objetivo de este trabajo es exponer algunas inflexiones teórico- metodológicas que han favorecido en los últimos años la producción del conocimiento científico referida a sitios con enterratorios humanos. Para ello se utiliza como estudio de caso, a modo de…

A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. As it is well known, the use of prior knowledge can dramatically improve the performance and quality…

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…

A multi-agent system 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. They establish dialogues via some kind…

This thesis studies the notion of knowledge in business firms, and in particular the concept of knowledge mobilization, understood as the mechanisms used by organizations to apply, transfer and retain knowledge about cause and effect relationships. As a theoretical framework,…

by Stephen R. Balzac., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987., Title as it appeared in M.I.T. Graduate List, June 1987: An interactive knowledge classifier., Bibliography: leaves 111-112.

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

by Peter L. Grant., Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2000., Includes bibliographical references (p. 105-108).

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

Sixty teachers from the Ottawa-Carleton region of Canada were surveyed to measure their knowledge of child maltreatment risk indicators, knowledge of reporting procedures, and the frequency of reporting sexual abuse, physical abuse, and neglect. Correlations did not support the hypothesis…