How do teams complete a task involving critical knowledge that is both complex and
external to the team itself? This is a task characterized by a particularly difficult tradeoff
between external search for important knowledge on one hand…

The term 24-Hour Knowledge Factory connotes a globally distributed work environment in which members of the
global team work on a project around the clock; each member of the team works the normal workday hours that
pertain to…

There has been a lot of research addressing the relationship between Information Technology (IT) investments and productivity. Most of the work has been based on firm-level metrics such as total IT investment. We present what we believe is one of…

Knowledge networks have received a significant amount of attention in the past few decades as people look beyond corporate governance and resource-based approaches to uncover sources of competitive advantage. While this area of research is useful for organizations in general,…

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…

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).

by Jose Maria Gonzalez Pinto., Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002., Includes bibliographical references (p. 68-69).

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…

The MIT Artificial Intelligence Project has a variety of goals all bound together by search for principles of intelligent behavior. Among our immediate goals are to develop systems with practical applications for: Visually-controlled automatic manipulation and physical world problem-solving, machine…

We have developed a technique called RISE (Random Image Structure Evolution), by which one may systematically sample continuous paths in a high-dimensional image space. A basic RISE sequence depicts the evolution of an object's image from a random field, along…