This study offers a detailed case study of how Toyota facilitates interorganizational knowledge transfers among within its production network. In particular, we identiify and examine six key institutionalized knowledge sharing routines developed by Toyota and its suppliers. By examining how…

We show how to interoperate, semantically and inferentially, between the leading Semantic Web approaches to rules (RuleML Logic Programs) and ontologies (OWL/DAML+OIL Description Logic) via analyzing their expressive intersection. To do so, we define a new intermediate knowledge representation (KR)…

The thesis explores architectural form generation through two behavior based artificial intelligence approaches: the communication of agents in an unpredictable simulation system, and the codification of information within an evolutionary process. Both concepts stem from the evaluation of potentially definable…

Does knowledge of language consist of symbolic rules? How do children learn and use their linguistic knowledge? To elucidate these questions, we present a computational model that acquires phonological knowledge from a corpus of common English nouns and verbs. In…

The studies of anatomy and physiology are fundamental ingredients of medical education. This paper identifies six ways in which such functional knowledge serves as the underpinnings for general medical reasoning, and outlines the design of a computational model of common…

This thesis explores a holistic design process through which architectural elements can engage the dynamic forces of natural phenomena and integrate the spatial and temporal experience of building form with its physical environment. The framework for this exploration is a…

How can we insure that knowledge embedded in a program is applied effectively? Traditionally the answer to this question has been sought in different problem solving paradigms and in different approaches to encoding and indexing knowledge. Each of these is…

We had previously shown that regularization principles lead to approximation schemes, as Radial Basis Functions, which are equivalent to networks with one layer of hidden units, called Regularization Networks. In this paper we show that regularization networks encompass a much…

by Ronit Bodner., Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996., Includes bibliographical references (leaves 75-76).

The problem of automatic face recognition is to visually identify a person in an input image. This task is performed by matching the input face against the faces of known people in a database of faces. Most existing work in…