This paper illustrated an approach toward understanding natural language through the techniques of artificial intelligence. It explores the structure of English word-endings both morpho-graphemically and semantically. It illustrated the use of procedures and semantic representations in relating the broad range…

How can we construct a program that will understand stories that children would understand? By understand we mean the ability to answer questions about the story. We are interested here with understanding natural language in a very broad area. In…

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…

PATN is a design for a machine problem solver which uses an augmented transition network (ATN) to represent planning knowledge. In order to explore PATN's potential as a theory of human problem solving, a linguistic approach to protocol analysis is…

The idea of building a programmer is very seductive in that it holds the promise of massive bootstrapping and thus ties in with many ideas about learning and teaching. I will avoid going into those issues here. It is necessary,…

The activities of the Artificial Intelligence laboratory can be viewed under three main aspects; (1) Artificial Intelligence- understanding the principles of making intelligent machines along the lines discusses in previous proposals, and elaborated below. (2) Natural Intelligence- As we understand…

An analysis was conducted to determine the behavior of a high pressure electric arc discharge inside the Plasmatron Fuel Reformer. The Plasmatron Fuel Reformer uses an electric arc to partially combust fuel in an internal combustion engine to increase efficiency…

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…

We develop a novel autonomous control synthesis strategy called Phase Space Navigator for the automatic synthesis of nonlinear control systems. The Phase Space Navigator generates global control laws by synthesizing flow shapes of dynamical systems and planning and navigating system…

We develop a qualitative method for understanding and representing phase space structures of complex systems and demonstrate the method with a program, MAPS --- Modeler and Analyzer for Phase Spaces, using deep domain knowledge of dynamical system theory. Given a…