16 citations · 29 across the 12 of their papers we have counts for
14 papers
Moral Rebel Agents: Decision-Making Under Conflicting Obligations
Hector Munoz-Avila, David W. Aha, Paola Rizzo
Autonomous agents are typically obliged to follow user-assigned tasks. However, strict obedience may conflict with moral obligations that arise during execution. This paper investi…
R-HTN: Rebellious Online HTN Planning for Safety and Game AI
Hector Munoz-Avila, David W. Aha, Paola Rizzo
We introduce online Hierarchical Task Network (HTN) agents whose behaviors are governed by a set of built-in directives \D. Like other agents that are capable of rebellion (i.e., {…
ChatHTN: Interleaving Approximate (LLM) and Symbolic HTN Planning
Hector Munoz-Avila, David W. Aha, Paola Rizzo
We introduce ChatHTN, a Hierarchical Task Network (HTN) planner that combines symbolic HTN planning techniques with queries to ChatGPT to approximate solutions in the form of task…
Human-Centric Goal Reasoning with Ripple-Down Rules
Kenji Brameld, Germán Castro, Claude Sammut +2
ActorSim is a goal reasoning framework developed at the Naval Research Laboratory. Originally, all goal reasoning rules were hand-crafted. This work extends ActorSim with the capab…
Interpretable ML for Imbalanced Data
Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk +2
Deep learning models are being increasingly applied to imbalanced data in high stakes fields such as medicine, autonomous driving, and intelligence analysis. Imbalanced data compou…
Self-directed Learning of Action Models using Exploratory Planning
Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd +2
Complex, real-world domains may not be fully modeled for an agent, especially if the agent has never operated in the domain before. The agent's ability to effectively plan and act…