Publications

Our current sponsor at the Department of Defense does not allow us to publish scientific papers showing the results of our work, but I have written some introductory and general-interest blog posts on AI, machine learning, and natural language processing. I hope they are helpful.

• Microsoft Flight Simulator 2020 is an inflection point for virtual worlds and our own, 2020
• Generating Natural-Language Text with Neural Networks, 2018
• Why Is There Life? And What Does It Have to Do with AI?, 2017
• Chatbots: Theory and Practice, 2017
• You and Your Bot: A New Kind of Lifelong Relationship, 2017
• Computers Could Understand Natural Language Using Simulated Physics, 2017
• The Two Paths from Natural Language Processing to Artificial Intelligence, 2017
• DeepGrammar: Grammar Checking Using Deep Learning, 2016
• Deep Learning for Natural Language Processing, 2015
• What Deep Learning Really Means, 2014

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.