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…

In order to understand and create human-level intelligence I have developed the Polyscheme cognitive architecture to build systems that combine several representation and inference schemes when they think. Polyscheme is based on three principles. First, different (aspects of) situations that…

The task objective is the generalization and implementation of the full power of the problem solving formalism PLANNER in the next two years. We will show how problem solving knowledge can be effectively incorporated into the formalism. Several domains will…

The Wumpus Advisor program offers advice to a player involved in choosing the best move in a game for which competence in dealing with incomplete and uncertain knowledge is required. The design and implementation of the advisor explores a new…

by Kah-Peng Aw., Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2001., Includes bibliographical references (leaf 55).

by Henry Neil Holtzman., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1991., Includes bibliographical references (leaves 63-66).

by Satyajit Rao., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992., Includes bibliographical references (p. 64-65).

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…