7 papers
Position: Artificial Intelligence Needs Meta Intelligence -- the Case for Metacognitive AI
Sergei Chuprov, Richard D. Lange, Leon Reznik +3
This position paper argues for metacognition as a general design principle for creating more accurate, secure, and efficient AI. The metacognitive solution involves systems monitor…
Reasoning about Medical Triage Optimization with Logic Programming
Jaikrishna Manojkumar Patil, Adam Chapman, Richard Knuszka +2
We present a logic programming framework that orchestrates multiple variants of an optimization problem and reasons about their results to support high-stakes medical decision-maki…
Probabilistic Circuits for Knowledge Graph Completion with Reduced Rule Sets
Jaikrishna Manojkumar Patil, Nathaniel Lee, Al Mehdi Saadat Chowdhury +2
Rule-based methods for knowledge graph completion provide explainable results, but often require tens of thousands of rules to achieve competitive performance. Although individual…
A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models
Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam +3
Deep Reinforcement Learning (RL) has been explored and verified to be effective in solving decision-making tasks in various domains, such as robotics, transportation, recommender s…
Sea-cret Agents: Maritime Abduction for Region Generation to Expose Dark Vessel Trajectories
Divyagna Bavikadi, Nathaniel Lee, Paulo Shakarian +1
Bad actors in the maritime industry engage in illegal behaviors after disabling their vessel's automatic identification system (AIS) - which makes finding such vessels difficult fo…
Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach
Nathaniel Lee, Noel Ngu, Harshdeep Singh Sahdev +4
Predicting price spikes in critical metals such as Cobalt, Copper, Magnesium, and Nickel is crucial for mitigating economic risks associated with global trends like the energy tran…