An investigation was carried out on the contents of the architectural texts in order to illuminate written architectural knowledge. The thesis takes as its case study the required reading list for Introduction to Architecture course at Yale College, Yale University,…

We have developed a method and prototype program for assisting two experts in their attempts to construct a single, consensus knowledge base. We show that consensus building can be effectively facilitated by a debugging approach that identifies, explains, and resolves…

The act of designing in architecture is a complex process. Many designers, when probed for reasons to explain their actions, are either unable to answer questions, or provide explanations that are not true descriptions of their actions. Frequently the designer…

This thesis is concerned with the systematic investigation and application of knowledge within the architectural design studio. The thesis takes, as a point of departure in the development of architectural epistemology, a model of knowledge developed by Yehuda Elkana, in…

This paper addresses the problem of recovering relative structure, in the form of an invariant, referred to as projective structure, from two views of a 3D scene. The invariant structure is computed without any prior knowledge of camera geometry, or…

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 Kazunori Yamagata., Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2002., Includes bibliographical references (leaves 95-99).

To recognize a previously seen object, the visual system must overcome the variability in the object's appearance caused by factors such as illumination and pose. Developments in computer vision suggest that it may be possible to counter the influence of…

Most knowledge representation languages are based on classes and taxonomic relationships between classes. Taxonomic hierarchies without defaults or exceptions are semantically equivalent to a collection of formulas in first order predicate calculus. Although designers of knowledge representation languages often express…

This research is concerned with designing representations for analytical reasoning problems (of the sort found on the GRE and LSAT). These problems test the ability to draw logical conclusions. A computer program was developed that takes as input a straightforward…