Many of today's products are so complex that no single company has all the necessary knowledge about either the product or the required processes to completely design and manufacture them in-house. As a result, most companies are dependent on others…

This reference manual consists of two parts. The first (sections 1 through 6) is intended for those who are either interested in the ITS 1.5 time sharing monitor for its own sake or who wish to write machine language programs…

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…

This dissertation considers three implications of collective self-government for just foreign policies in an imperfect world. Individuals are the appropriate moral unit of analysis, constrained to govern themselves justly, together with compatriots. First I derive limits to state autonomy that…

by Nina Kruschwitz and George Roth., "March 1999.", Includes bibliographical references.

by Satyajit Rao., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992., Includes bibliographical references (p. 64-65).

This paper reports work in progress on an experimental text editor called CREF, the Cross Referenced Editing Facility. CREF deals with chunks of text, called segments, which may have associated features such as keywords or various kinds of links to…

by James William Leigh., Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1984., MICROFICHE COPY AVAILABLE IN ARCHIVES AND DEWEY., Bibliography: leaves 131-134.

In a Communication Bootstrapping system, peer components with different perceptual worlds invent symbols and syntax based on correlations between their percepts. I propose that Communication Bootstrapping can also be used to acquire functional definitions of words and causal reasoning knowledge.…

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…