In order to make computers proactive and assistive, we must enable them to perceive, learn, and predict what is happening in their surroundings. This presents us with the challenge of formalizing computational models of ...

The Task-Method-Knowledge (TMK) modeling language is a formal mechanism for describing a software system. It was created as a knowledge representation framework for intelligent systems. The main idea behind TMK is ...

As part of the DARPA Tactical Mobile Robotics (TMR) program, Georgia Tech investigated the human interface issues associated with controlling robot "units," multiple robotic agents working as a team. This report provides ...

We consider a fundamental problem in computational learning theory: learning in the presence of irrelevant information. In particular we are interested in learning an arbitrary boolean function of n variables which depends ...

Adaptability is a key characteristic of intelligence. My research explores techniques for enabling software agents to adapt themselves as their functional requirements change incrementally. In the domain of manufacturing, ...

Visual knowledge appears to be an important part of problem solving, but the role of visual knowledge in analogical problem solving is still somewhat mysterious. In this work I present the Constructive Adaptive Visual ...

In both the game industry and the academic community, there have not been many attempts to create complete interactive drama systems. I am working with a group that will be the first to undertake this daunting challenge, ...

Visual media are of great importance to designers. Understanding a new design, for example, often means understanding a drawing. From the perspective of artificial intelligence, this implies that automated knowledge ...