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…

This paper demonstrates the importance of knowledge for effective
management of outsourcing. Drawing on an empirical study on automakers?
management of supplier involvement in product development in Japan, this paper shows
that the level of own knowledge is critical for…

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…

TYPICAL is a package for describing and making automatic inferences about a broad class of SCHEME predicate functions. These functions, called types following popular usage, delineate classes of primitive SCHEME objects, composite data structures, and abstract descriptions. TYPICAL types are…

The construction of expert problem-solving systems requires the development of techniques for using modular representations of knowledge without encountering combinatorial explosions in the solution effort. This report describes an approach to dealing with this problem based on making some knowledge…

Banking channel management has become a crucial component in the drive for improved efficiency. Since the channel is the interlocutor between customers and products, banks are leveraging their knowledge of channels to efficiently address perfect product portfolio through the most…

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…

Traditional scheduling algorithms (using the techniques of PERT charts, decision analysis or operations research) require well-defined quantitative, complete sets of constraints. They are insufficient for scheduling situations where the problem description is ill-defined, involving incomplete, possibly inconsistent and generally qualitative…

This report is concerned with the problem of achieving flexibility (additivity, modularity) and efficiency (performance, expertise) simultaneously in one AI program. It deals with the domain of elementary electronic circuit design. The proposed solution is to provide a deduction-driven problem…

This thesis demonstrates how the use of a global context can improve the power of a local character recognizer. The global context considered is a computer tutor of high school algebra that observes a student working algebra problems on a…