Little has been written about the component provision problem (programming plans and domain concepts) for the repositories of knowledge in program understanding systems and reports that specifically address this issue are unknown. Model-driven and plan-driven approaches use repositories where construction…

This manual is intended to be a guide to the philosophy and use of the programming language CONNIVER, which is "complete," and running at the AI Lab now. It assumes good knowledge of LISP, but no knowledge of Micro-Planner, in…

The problem of automatic face recognition is to visually identify a person in an input image. This task is performed by matching the input face against the faces of known people in a database of faces. Most existing work in…

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…

I have invented "Internet Fish," a novel class of resource-discovery tools designed to help users extract useful information from the Internet. Internet Fish (IFish) are semi-autonomous, persistent information brokers; users deploy individual IFish to gather and refine information related to…

The Telematics Industry faces tremendous challenges for growth. Regardless of the efforts and investment from vehicle manufacturers and suppliers, telematics has not been that profitable industry that many analyst forecasted five years ago; a 40 billion industry by 2003. This…

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…

A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts and uses color region…