by Biao Huang., Thesis (S.M.)--Massachusetts Institute of Technology, Technology and Policy Program, 2001., Includes bibliographical references (leaves 112-115).

by Hani Umar Shakeel., Thesis (S.M.)--Massachusetts Institute of Technology, Technology and Policy Program, 2001., Includes bibliographical references (p. 94-98).

The first two chapters of this thesis explore how coordination happens in simple games. The first chapter models the adaptive play of a 2 x 2 game by pairs of agents matched together from a large population. In contrast with…

Rafael Moneo, a Spanish architect and educator who has been practicing architecture in Madrid since 1965, rose in the profession from local practitioner to designer of international reputation in the mid-1980s with his Museum of Roman Art in MWrida (1980-86)…

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…

This thesis considers three complications that arise from applying reinforcement learning to a real-world application. In the process of using reinforcement learning to build an adaptive electronic market-maker, we find the sparsity of data, the partial observability of the domain,…

Humans recognize optical reflectance properties of surfaces such as metal, plastic, or paper from a single image without knowledge of illumination. We develop a machine vision system to perform similar recognition tasks automatically. Reflectance estimation under unknown, arbitrary illumination proves…

We have developed a technique called RISE (Random Image Structure Evolution), by which one may systematically sample continuous paths in a high-dimensional image space. A basic RISE sequence depicts the evolution of an object's image from a random field, along…

All intelligence relies on search --- for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the…

(cont.) which is expected, given their additional knowledge resources. The respondents' urgency in looking for the relevant knowledge is the primary explanation for this difference between the two networks. This difference in knowledge networking among the different groups did not…