Corporate household (CHH) refers to the organizational information about the structure within the corporation and
a variety of inter-organizational relationships. Knowledge derived from this data is becoming increasingly important
for improving data quality in applications, such as Customer…

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…

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…

In recent years, researchers in artificial intelligence have become interested in replicating human physical reasoning talents in computers. One of the most important skills in this area is predicting how physical systems will behave. This thesis discusses an implemented program…

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…

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…

We examine a knowledge representation architecture to support context interchange
mediation. For autonomous receivers and sources sharing a common subject domain,
the mediator's reasoning engine can devise query plans integrating multiple sources and
resolving semantic heterogeneity. Receiver…

This thesis considers three complications that arise from applying reinforcement learning to a real-world application. In the process of using reinforcement learning to build an adaptive electronic market-maker, we find the sparsity of data, the partial observability of the domain,…

Humans recognize optical reflectance properties of surfaces such as metal, plastic, or paper from a single image without knowledge of illumination. We develop a machine vision system to perform similar recognition tasks automatically. Reflectance estimation under unknown, arbitrary illumination proves…