Jonathan Mugan
Grounding Large Language Models in a Cognitive Foundation: How to Build Someone We Can Talk To.
The Gradient. 2023.
Jonathan Mugan Building a Cognitive Foundation for Commonsense Battlespace Understanding.
Naval Applications of Machine Learning (NAML). 2023.
Jonathan Mugan RLlib for Deep Hierarchical Multiagent Reinforcement Learning.
Naval Applications of Machine Learning (NAML). 2022.
Jonathan Mugan
Strong AI Requires Autonomous Building of Composable Models.
The Gradient. 2021.
Jonathan Mugan, Ranga Chari, Laura Hitt, Eric McDermid, Marsha Sowell, Yuan Qu, and Thayne Coffman.
Entity Resolution Using Inferred Relationships and Behavior. [ bibtex entry ]
IEEE International Conference on Big Data (BigData-14). 2014.
Jonathan Mugan and Aram Khalili. [ bibtex entry and errata ]
The Application of Top-Down Abstraction Learning Using Prediction as a Supervisory Signal to Cyber Security.
SPIE Defense, Security, and Sensing. Machine Intelligence and Bio-inspired
Computation: Theory and Applications VIII (SPIE+DSS-14). 2014.
Jonathan Mugan, Eric McDermid, Abbey McGrew, and Laura Hitt. [ bibtex entry ]
Identifying Groups of Interest through Temporal Analysis and Event Response Monitoring.
IEEE Conference on Intelligence and Security Informatics (ISI-13). 2013.
Jonathan Mugan. [ bibtex entry ] [ presentation ]
Top-Down Abstraction Learning Using Prediction as a Supervisory Signal.
AAAI Workshop on Learning Rich Representations from Low-Level Sensors (RepLearn-13). 2013.
Jonathan Mugan. [ bibtex entry ]
[ blog post ]
A Developmental Approach to Learning Causal Models for Cyber Security.
SPIE Defense, Security, and Sensing. Machine Intelligence and Bio-inspired
Computation: Theory and Applications VII (SPIE+DSS-13). 2013.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
Autonomous Learning of High-Level States and Actions in Continuous Environments.
IEEE Transactions on Autonomous Mental Development (TAMD). 2012.
(QLAP journal paper)
Jonathan Mugan and Matt McClain. [ bibtex entry ]
The Application of Developmental Learning to Cyber Security.
Biologically Inspired Cyber Defense Workshop (BICD-12). 2012.
Jonathan Mugan. [ bibtex entry ]
The Curiosity Cycle: Preparing Your Child for the Ongoing Technological Explosion. 2012.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ] (In Press)
Autonomous Representation Learning in a Developing Agent.
Computational and Robotic Models of the Hierarchical Organization of Behavior.
Springer Verlag. 2012.
Jonathan Mugan, Tarun Sharma, and Norman Sadeh. [ bibtex entry ]
Understandable learning of privacy preferences through default personas and suggestions.
Institute for Software Research Technical Report CMU-ISR-11-112. Carnegie Mellon University, Pittsburgh, PA. 2011.
Justin Cranshaw, Jonathan Mugan and Norman Sadeh. [ bibtex entry ]
User-Controllable Learning of Location Privacy Policies with Gaussian Mixture Models.
Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI-11). 2011.
Rebecca Balebako, Pedro G. Leon, Hazim Almuhimedi, Patrick Gage Kelley, Jonathan
Mugan, Alessandro Acquisti, Lorrie Faith Cranor and Norman Sadeh. [ bibtex entry ]
Nudging Users Towards Privacy on Mobile Devices.
Workshop on Persuasion, Influence, Nudge and Coercion Through Mobile Devices (PINC at CHI-11). 2011.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
The Qualitative Learner of Action and Perception (QLAP).
AAAAI Video Competition (AIVC-10). 2010.
(Winner, Educational Video category)
Jonathan Mugan [ bibtex entry ]
Autonomous Qualitative Learning of Distinctions and Actions in a Developing Agent.
Ph.D. Thesis. 2010.
Stephen Bartnikowski, Matthias Granberry, Jonathan Mugan,
and Klaus Truemper. [ bibtex entry ]
Transformation of Rational and Set Data
to Logic Data.
In Data Mining and Knowledge
Discovery Approaches Based on Rule Induction
Techniques.
Springer. 2010.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
Autonomously Learning an Action Hierarchy Using a Learned Qualitative State Representation.
Proceedings of the
21st International Joint Conference on Artificial Intelligence (IJCAI-09). 2009.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
A Comparison of Strategies for Developmental Action Acquisition in QLAP.
Proceedings of the
9th International Conference on Epigenetic Robotics (EpiRob-09). 2009.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
Skill Reuse in Lifelong Developmental Learning.
IROS 2009 Workshop: Autonomous Mental Development for Intelligent
Robots and Systems. 2009.
Jonathan Mugan and Klaus Truemper. [ bibtex entry ]
Discretization of Rational Data.
In Mathematical Methods for Knowledge Discovery and Data Mining.
IGI Publishing Group. 2008.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
Towards the Application of Reinforcement Learning to Undirected Developmental Learning.
Proceedings of the
8th International Conference on Epigenetic Robotics (EpiRob-08). 2008.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
Continuous-Domain Reinforcement Learning Using a Learned Qualitative State Representation.
22nd International Workshop on Qualitative Reasoning. 2008.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
Learning to Predict the Effects of Actions: Synergy Between
Rules and Landmarks.
Proceedings of the 6th
(IEEE) International Conference on Development and Learning (ICDL-07). 2007.
Jonathan Mugan and Benjamin Kuipers. [ bibtex entry ]
Learning Distinctions and Rules in a Continuous World
Through Active Exploration.
Proceedings of the
7th International Conference on Epigenetic Robotics (EpiRob-07). 2007.