This thesis examines the evolution of Internet based knowledge networks (e-knowledge networks) in the domain of sustainable development. The objective of this thesis is to use an engineering systems approach to understand knowledge networks, identify the barriers to their sustainability…

A system for visual recognition is described, with implications for the general problem of representation of knowledge to assist control. The immediate objective is a computer system that will recognize objects in a visual scene, specifically hammers. The computer receives…

Drawing on an empirical study on automakers? management of supplier
involvement in product development in Japan, this paper shows that when the design of
a component is outsourced to a supplier, how much and what automakers know about
the component…

This thesis investigates what knowledge is necessary to solve mechanics problems. A program NEWTON is described which understands and solves problems in mechanics mini-world of objects moving on surfaces. Facts and equations such as those given in mechanics text need…

by Guru Prasanna., Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2001., Page 123 blank., Includes bibliographical references (p. 121-122).

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…

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…

The need for robust and easily extensible systems for word sense disambiguation coupled with successes in training systems for a variety of tasks using large on-line corpora has led to extensive research into corpus-based statistical approaches to this problem. Promising…

This paper introduces a model of spatial cognition to describe the states of partial knowledge that people have about the spatial structure of a large-scale environment. Spatial knowledge has several different representations, each of which captures one aspect of the…

We propose a vision of the structure of knowledge and processes of learning based upon the particularity of experience. Highly specific cognitive structures are constructed through activities in limited domains of experience. For new domains, new cognitive structures develop from…