Now showing items 1-4 of 4
Building Grounded Abstractions for Artificial Intelligence Programming
Most Artificial Intelligence (AI) work can be characterized as either ``high-level'' (e.g., logical, symbolic) or ``low-level'' (e.g., connectionist networks, behavior-based robotics). Each approach suffers from particular ...
Learning Commonsense Categorical Knowledge in a Thread Memory System
If we are to understand how we can build machines capable of broad purpose learning and reasoning, we must first aim to build systems that can represent, acquire, and reason about the kinds of commonsense knowledge that ...
Generative Temporal Planning with Complex Processes
Autonomous vehicles are increasingly being used in mission-critical applications, and robust methods are needed for controlling these inherently unreliable and complex systems. This thesis advocates the use of model-based ...
BioJADE: A Design and Simulation Tool for Synthetic Biological Systems
The next generations of both biological engineering and computer engineering demand that control be exerted at the molecular level. Creating, characterizing and controlling synthetic biological systems may provide us ...