This paper descries D-SCRIPT, a language for representing knowledge in artificial intelligence programs. D-SCRIPT contains a powerful formalism for descriptions, which permits the representation of statements that are problematical for other systems. Particular attention is paid to problems of opaque…

As part of its national obligations, ONR must ensure US world leadership in those unique technology areas that insure naval superiority. ONR accomplishes this mission through research, recruitment and education, maintaining an adequate base of talent, and sustaining critical infrastructure…

This research will thoroughly document the experiences of a small number of 5th grade children in an elementary school computer laboratory, using LOGO, an advanced computer language designed for children. Four groups of four children will be taught a 10-week…

by Qi Dong., Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999., Includes bibliographical references (p. 169-171).

Workers and employees are increasingly exposed in the workplace to chemical compounds and substances that are potentially toxic; for most of these compounds, no information exist regarding effects on human health. As one of the main employment generation sources, Small…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…

We develop a novel autonomous control synthesis strategy called Phase Space Navigator for the automatic synthesis of nonlinear control systems. The Phase Space Navigator generates global control laws by synthesizing flow shapes of dynamical systems and planning and navigating system…

We develop a qualitative method for understanding and representing phase space structures of complex systems and demonstrate the method with a program, MAPS --- Modeler and Analyzer for Phase Spaces, using deep domain knowledge of dynamical system theory. Given a…

A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts and uses color region…

by Uriel Jospeh Wilensky., Thesis (Ph. D.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1993., Includes bibliographical references (leaves 201-209).