Advances in Corporate Householding are needed to address certain categories of data quality problems caused by data misinterpretation. In this paper, we first summarize some of these data quality problems and our more recent results from studying corporate householding applications…

Information and Communications Technologies (ICTs) are playing a significant role in
economic, political and cultural development. The relationship between technologies
supporting information processing and distribution, and the application of that knowledge
for development purposes has only recently come into focus.…

This paper introduces our ongoing analysis of auto component development data obtained from Nishiguchi's research sponsored by MIT's International Motor Vehicle Program (IMVP).
The main results of this paper can be found in the section of Research Results where
a…

The convergence of three distinct but interconnected trends - unrelenting globalization,
growing worldwide electronic connectivity, and increasing knowledge intensity of
economic activity - is creating powerful new opportunities and challenges for global
politics. This rapidly changing environment…

Evaluation of public programming currently tends toward plans that are set in advance of any sampling and adhered to throughout. Because increments in the knowledge profile during the course of an evaluation might beckon adjustment of the working procedure, fixed…

Wusor II is the second program that has been developed to tutor students in the game of Wumpus. From the earlier efforts with Wusor I it was possible to produce a rule-based expert which processed a relatively complete mastery of…

This paper discusses some preliminary thoughts about the development of a questionnaire for the Knowledge-based Operations Management System (KOMS) project. The questionnaire is designed to elicit information from managers, regarding the type of operating problems faced by them in terms…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…

We develop a novel autonomous control synthesis strategy called Phase Space Navigator for the automatic synthesis of nonlinear control systems. The Phase Space Navigator generates global control laws by synthesizing flow shapes of dynamical systems and planning and navigating system…

We develop a qualitative method for understanding and representing phase space structures of complex systems and demonstrate the method with a program, MAPS --- Modeler and Analyzer for Phase Spaces, using deep domain knowledge of dynamical system theory. Given a…