Publications

Refereed Journal Papers

  1. Brent Harrison and David L. Roberts. An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Player Retention in Casual Games. IEEE Transactions on Computational Intelligence and AI in Games.
  2. Brent Harrison, Stephen G. Ware, Matthew William Fendt, David L. Roberts. A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Games. IEEE Transactions on Emerging Topics in Computing.
  3. Stephen G. Ware, R. Michael Young, Brent Harrison, and David L. Roberts. A Computational Model of Plan-Based Narrative Conflict at the Fabula Level.IEEE Transactions on Computational Intelligence and AI in Games.

Refereed Conference Papers

  1. Lara J. Martin, Brent Harrison, and Mark O. Riedl. Improvisational Computational Storytelling in Open Worlds. Proceedings of the 2016 International Conference on Interactive Digital Entertainment. Los Angeles, California, 2016. [pdf]
  2. Brent Harrison and Mark O. Riedl. Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. Proceedings of the 2016 AAAI Conference on Artificial Intelligence for Interactive Digital Entertainment. Burlingame, California, 2016. [pdf]
  3. Alexander Zook, Brent Harrison, and Mark Riedl. Monte-Carlo Tree Search for Simulation-Based Play Strategy Analysis. In Proceedings of the 2015 Foundations of Digital Games Conference. Pacific Grove, California. 2015. Best Paper Nominee. [pdf]
  4. Matthew Guzdial, Brent Harrison, Boyang Li, and Mark Riedl. Crowdsourcing Open Interactive Narrative. In Proceedings of the 2015 Foundations of Digital Games Conference. Pacific Grove, California. 2015. [pdf]
  5. Brent Harrison and David L. Roberts. Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game. InProceedings of Tenth Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2014). Raleigh, North Carolina. 2014. [pdf]
  6. Rogelio E. Cardona-Rivera, Justus Robertson, Stephen G. Ware, Brent Harrison, David L. Roberts and R. Michael Young. Foreseeing Meaningful Choices. In Proceedings of Tenth Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2014). Raleigh, North Carolina. 2014. [pdf]
  7. Pu Yang, Brent Harrison, and David L. Roberts. Identifying Patterns in Combat that are Predictive of Success in MOBA Games. In Proceedings of the 2014 Foundations of Digital Games Conference. Exceptional Full Paper. [pdf]
  8. Brent Harrison and David L. Roberts. Analytics-Driven Dynamic Game Adaption for Player Retention in Scrabble. In Proceedings of the Computational Intelligence and Games Conference (CIG 2013). Niagara Falls, Canada. Best Paper Nominee. [pdf]
  9. Titus Barik, Arpan Chakraborty, Brent Harrison, David L. Roberts, Robert St. Amant. Speed/Accuracy Tradeoff in ACT-R Models of the Concentration Game. In Proceedings of the International Conference on Cognitive Modeling (ICCM 2013). Ottawa, Canada. [pdf]
  10. Matthew Fendt, Brent Harrison, Stephen Ware, Rogelio Cardona-Rivera and David L. Roberts. Achieving the Illusion of Agency. In Proceedings of the Fifth International Conference on Interactive Digital Storytelling (ICIDS 2012). San Sebastian, Span.. 2012. Winner: Best Paper Award [pdf]
  11. Stephen G. Ware, R. Michael Young, Brent Harrison, and David L. Roberts. Four Quantitative Metrics Describing Narrative Conflict. In The International Conference on Interactive Digital Storytelling (ICIDS 2012). San Sebastian, Span.. 2012. [pdf]
  12. Brent Harrison and David L. Roberts. When Players Quit (Playing Scrabble). InProceedings of Eighth Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2012). Stanford, California. 2012. [pdf]
  13. Brent Harrison, Titus Barik, David L. Roberts, and Xuxian Jiang. Spatial Game Signatures for Bot Detection in Social Games. In Proceedings of Eigth Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2012). Stanford, California. 2012. [pdf]
  14. Tatdow Pansombut, William Hendrix, Jacob Gao, Brent Harrison, and Nagiza Samatova. Biclustering-Driven Ensemble of Bayesian Belief Network Classifiers for Underdeterined Problems.International Joint Conferences on Artificial Intelligence. Barcelona, Spain, 2011. [pdf]
  15. Brent Harrison and David L. Roberts. Using Sequential Observations to Model and Predict Player Behavior. In Proceedings of the 2011 Foundations of Digital Games Conference. Bordeaux, France, 2011. [pdf]
  16. Brent Harrison, Tatdow Patsombut, Dennis Bahler, and Nagiza F. Samatova. Improving the Performance of Bayesian Belief Network Classifiers via Decision Tree Based Feature Selection. In Proceedings of IKE. Las Vegas, Nevada, USA, 2010.

Refereed Workshop Papers and Extended Abstracts

  1. Samantha Krening, Brent Harrison, Karen Feigh, Charles L. Isbell, and Andrea Thomaz. Object-Focused Advice in Reinforcement Learning. In Proceedings of the 15th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016.
  2. Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles L. Isbell, and Andrea Thomaz. Policy Shaping in Domains with Multiple Optimal Policies. In Proceedings of the 15th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016.
  3. Brent Harrison, Siddhartha Banerjee and Mark Riedl. Learning from Stories: Using Natural Communication to Train Believable Agents. In Proceedings of the IJCAI’16 Workshop on Interactive Machine Learning. New York City, 2016. [pdf]
  4. Brent Harrison and Mark O. Riedl. Towards Learning From Stories: An Approach for Interactive Machine Learning. In Proceedings of the AAAI Workshop on Symbiotic Cognitive Systems. Phoenix, Arizona, 2016. [pdf]
  5. Mark O. Riedl and Brent Harrison.Using Stories to Teach Human Values to Artificial Agents.  In Proceedings of the 2nd International Workshop on AI, Ethics and Society. Phoenix, Arizona, 2016. [pdf]
  6. Arpan Chakraborty, Brent Harrison, Pu Yang, David L. Roberts, and Robert St. Amant. Exploring Key-Level Analytics for Computational Modeling of Typing Behavior. In Proceedings of the 2014 Symposium and Bootcamp on the Science of Security (HotSoS 14). 2014. [pdf]
  7. Brent Harrison. Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics. In AAAI Doctoral Consortium. Bellevue, Washington, 2013. [pdf]
  8. Brent Harrison and David L. Roberts. A Review of Student Modeling Techniques in Intelligent Tutoring Systems. In The First Workshop on Artificial Intelligence for Serious Games at the 2012 AI and Interactive Digital Entertainment Conference. Stanford, California, 2012. [pdf]
  9. Brent Harrison. Creating Model-Based Adaptive Environments Using Game-Specific and Game-Dependent Analytics. In The First Doctoral Consortium at the 2012 AI and Interactive Digital Entertainment Conference. Stanford, California, 2012. [pdf]
  10. Stephen G. Ware, Brent Harrison, R. Michael Young, and David L. Roberts. Initial Results for Measuring Four Dimensions of Narrative Conflict. In The Proceedings of the Fourth Workshop on Intelligent Narrative Technologies[pdf]

Refereed Book Chapters

  1. Brent Harrison, Jason Smith, Stephen G. Ware, et al. Frequent Subgraph Mining. In Practical Graph Mining with R.  Nagiza Samatova ed.  CRC Press.
  2. Kanchana Padmanabhan, Brent Harrison, Kevin Wilson, et al. Cluster Analysis.  In Practical Graph Mining with R.  Nagiza Samatova ed.  CRC Press.