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…

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.

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,…

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).

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…

Este trabajo propone un modelo declarativo para el modelado de sistemas de gestión
de diálogo. La estrategia propuesta se basa en una división funcional del sistema de gestión en
cuatro niveles: especificación, interfaz de usuario, representación y ejecución; cada uno…

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.…

Continued advances in the semiconductor industry will require the introduction of new materials and processes concurrent with shrinking device dimensions. These simultaneous demands drastically reduce margins for error and necessitate an increasingly quantitative understanding of semiconductor processes. Leaders of the…

This dissertation investigates how rapid learning occurs in high technology industries, many of which operate in what Bourgeois and Eisenhardt (1988) term "high velocity environments." The dissertation consists of three empirical studies, which follow the method of extended case study…