by Shung Yar Lim., Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2003., Includes bibliographical references (leaves 122-126).

The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to reason about our world. In the domain…

The post-September 11th economy has confronted Rockwell Collins in Cedar Rapids, Iowa with hard choices. Faced with the need to cut costs, including laying off significant portions of the work force, the company and its unions still maintain a commitment…

Most knowledge representation languages are based on classes and taxonomic relationships between classes. Taxonomic hierarchies without defaults or exceptions are semantically equivalent to a collection of formulas in first order predicate calculus. Although designers of knowledge representation languages often express…

Drawing on an empirical study on automakers? management of supplier
involvement in product development in Japan, this paper shows that when the design of
a component is outsourced to a supplier, how much and what automakers know about
the component…

The shift towards global networking brings with it many opportunities and challenges. In this paper, we discuss key technologies in achieving global semantic interoperability among heterogeneous information systems, including both traditional and web data sources. In particular, we focus on…

Freud's theory of jokes explains how they overcome the mental "censors" that make it hard for us to think "forbidden" thoughts. But his theory did not work so well for humorous nonsense as for other comical subjects. In this essay…

by Eric Saund., Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1989., Includes bibliographical references (leaves 293-300).

If we are to understand how we can build machines capable of broad purpose learning and reasoning, we must first aim to build systems that can represent, acquire, and reason about the kinds of commonsense knowledge that we humans have…

Karim Hussein ... [et al.], "March 1994.", Includes bibliographical references (p. [23]-[24])., Supported by the Productivity From Information Technology (PROFIT) Research Initiative at MIT.