Research Interests: David W. Aha
Our group's research mission focuses on the design, implementation,
and testing of intelligent agents for control of autonomous unmanned
vehicles (simulated and hardware) or (unembodied) decision aids of
interest to the Navy/DoD. Our AI interests include goal reasoning,
machine learning (e.g., deep, reinforcement, transfer, active,
statistical relational, case-based), planning, case-based reasoning
(CBR), mixed-initiative reasoning (e.g., conversational CBR), text
analysis (e.g., of social media), and related topics.
Some of our current projects concern:
For more information, please see the following links or
- Goal Reasoning: This allows agents to
automatically respond to unexpected events in complex
environments, including self-selection of their goals.
Project interests include controlling an amphibious
vehicle, controlling underwater vehicles, learning
top-level control functions, rebel agents, and
- Explainable AI (XAI): This allows users to
interrogate AI systems so as to obtain explanations
for (e.g., learned) models and specific decisions.
Our group leads the DARPA XAI evaluation team and
also conducts research on explainable goal reasoning
agents and explainable robotics.
- Machine Learing (ML): In addition to several
projects on novel architectures and learning methods for
Deep Learning (DL), we are pursuing projects involving
the application of ML (and related) techniques for
(1) proteomics and (2) maritime domain awareness.
Last updated: March 2018