All intelligence relies on search --- for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the…

(cont.) updates. It produces plan-ready information, by exploiting the self-serving and opportunistic pursuit of instant return-on-investment by frontline offices. Thanks to its emergent qualities, City Knowledge engenders unexpected plan-demanding situations, where the ability to conduct second-order analyses leads to deeper…

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

by Nira Granott., Thesis (Ph. D.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1993., Includes bibliographical references (p. 431-442).

This report focuses on recycling. As an objective neutral party, MIT has compiled a knowledge base that examines the many complex issues relating to re-cycling. Although this report was prepared at the request of the Automotive board of Governors, it…

I shall describe a model of the evolution of the rule-structured knowledge that serves as a cornerstone of our development of computer-based coaches. The key idea is a graph structure whose nodes represent rules, and whose links represent various evolutionary…

This thesis explores a novel approach to visual speech modeling. Visual speech, or a sequence of images of the speaker's face, is traditionally viewed as a single stream of contiguous units, each corresponding to a phonetic segment. These units are…

We propose an information extraction framework to support automated construction of decision models in biomedicine. Our proposed technique classifies text-based documents from a large biomedical literature repository, e.g., MEDLINE, into predefined categories, and identifies important keywords for each category based…

This paper describes a system for the computer understanding of English. The system answers questions, executes commands, and accepts information in normal English dialog. It uses semantic information and context to understand discourse and to disambiguate sentences. It combines a…

Causal reconstruction is the task of reading a written causal description of a physical behavior, forming an internal model of the described activity, and demonstrating comprehension through question answering. T his task is difficult because written d escriptions often do…