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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…

Early Americans defined themselves, and the nation, through their relations with the world. This dissertation explores a crucial aspect of these relations, examining how global commerce, and Americans' ideas about global commerce, produced theories and practices of power. It approaches…

Can dialogue reveal hidden truths? This is what prompted Bronwen Rees and
Andrew Armitage to experiment with the dialogical process to explore how
realities and knowledge about our organisations are created.

Diagnosis is an important process in patient care. A suitable diagnosis helps a physician determine a precise treatment. Physicians also have a tendency to seek collaboration from other colleagues and expert systems for better confidence in their decision. The sources…

2008

In the presence of moral hazard, received agency theory predicts the Marshallian inefficiency of agricultural tenancy contracts, meaning that inputs per hectare on sharecropped land will differ from that on owned land. in this paper, we test for the presence…

The Phase Space is a powerful tool for representing and reasoning about the qualitative behavior of nonlinear dynamical systems. Significant physical phenomena of the dynamical system---periodicity, recurrence, stability and the like---are reflected by outstanding geometric features of the trajectories in…

Explanation-based learning occurs when something useful is retained from an explanation, usually an account of how some particular problem can be solved given a sound theory. Many real-world explanations are not based on sound theory, however, and wrong things may…

by Robert J. Grochowski., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1988., Includes bibliographical references.