Complex goods and processes require ever more sophisticated and specialized knowledge; harnessing multiple kinds of expertise to execute tasks, solve problems, and develop strategies is increasingly critical to organizations' survival. When specialists come together, however, they often speak in different…

In this paper, we study the asset pricing implication of imprecise knowledge about rare events. Modeling rare events as jumps in the aggregate endowment, we explicitly solve the equilibrium asset prices in a pure-exchange economy with a representative agent who…

This paper presents a knowledge-based approach for capturing data and rationale, so
that the experience and insights gained while pursuing a major project or endeavor can
be utilized when pursuing future endeavors of a similar nature. The proposed

An increasing number of organizations are involved in the development of strategic
information systems for effective linkages with their suppliers, customers, and other
channel partners involved in transportation, distribution, warehousing and maintenance
activities. An efficient inter-organizational inventory…

Learning from experience, the cyclical interplay of thinking and doing, is increasingly
important as organizations struggle to cope with rapidly changing environments and more
complex and interdependent sets of knowledge. This paper confronts two central issues
for organizational learning: (1)…

A real-time motion engine for interactive synthetic characters, either virtual or physical, needs to allow expressivity and interactivity of motion in order to maintain the illusion of life. Canned animation examples from an animator or motion capture device are expressive,…

his dissertation analyzes how local knowledge improves environmental decisions. The premise is that controlling pollution and addressing public health disparities are not problems that professionals alone can solve. Concerned lay publics, especially low-income populations and people of color that experience…

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…

by Kimberly G. Waters., Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002., Includes bibliographical references (p. 45-46).

Conversational interfaces have received much attention as a promising natural communication channel between humans and computers. A typical conversational interface consists of three major systems: speech understanding, dialog management and spoken language generation. In such a conversational interface, speech recognition…