Michael W. Floyd

Ph.D. (Electrical and Computer Engineering) from Carleton University, 2013
M.A.Sc. (Electrical Engineering) from Carleton University, 2009
B. Eng. (Computer Systems Engineering) from Carleton University, 2006
Email: mfloyd {at} sce [dot] carleton {dot} ca
Position: Lead Artificial Intelligence Scientist @ Knexus Research Corporation
Location: National Harbor, Maryland, USA

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Michael W. Floyd
Pennisi, G., Fine-Morris, M., Floyd, M.W., Auslander, B., Munoz-Avila, H., Heflin, J., and Gupta, K.M. (2021). HTN Learning via Transfer Learning of Domain Landmarks. In Proceedings of the 34th International Florida Artificial Intelligence Research Society Conference, North Miami Beach, Florida, USA, May 17-19.
Auslander, B., Gupta, K.M., Floyd, M.W., Blisard, S. and Aha, D.W. (2020). Exploiting Text Data to Improve Critical Care Mortality Prediction. In Proceedings of the IEEE Global Communications Conference (GLOBECOM 2020) Workshops, Taipei, Taiwan, December 7-11. IEEE.
Fine-Morris, M., Auslander, B., Floyd, M.W., Pennisi, G., Munoz-Avila, H., and Gupta, K.M. (2020). Learning Hierarchical Task Networks with Landmarks and Numeric Fluents by Combining Symbolic and Numeric Regression. In Proceedings of the 8th Annual Conference on Advances in Cognitive Systems, Palo Alto, California, USA, August 10-12. Cognitive Systems Foundation.
Floyd, M.W., and Massie, S. (Eds.) (2020). Proceedings of the 28th International Conference on Case-Based Reasoning Doctoral Consortium, Online, June 8-11.
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Massie, S., and Floyd, M.W. (2020). Preface - ICCBR Doctoral Consortium 2020. In Proceedings of the 28th International Conference on Case-Based Reasoning Doctoral Consortium, Online, June 8-11, 1.
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Turner, J.T., Floyd, M.W., Gupta, K.M., and Oates, T. (2019). NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. In Proceedings of the 27th International Conference on Case-Based Reasoning, Otzenhausen, Germany, September 8-12, 373-387. Springer.
Wright, B., Floyd, M.W., Dannenhauer, D., and Aha, D.W. (2019). The Game of Fluxx: A Benchmark for Goal Reasoning. In Proceedings of the Workshop on Goal Reasoning (held at the 7th Annual Conference on Advances in Cognitive Systems), Cambridge, USA, August 2-5.
Dannenhauer, D., Floyd, M.W., Decker, J., and Aha, D.W. (2019). Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. In Proceedings of the Workshop on Games and Simulations for Artificial Intelligence (held at the 33rd AAAI Conference on Artificial Intelligence), Honolulu, USA, January 27 - February 1.
Sanchez-Ruiz, A.A., and Floyd, M.W. (Eds.) (2019). Papers from the ICCBR Doctoral Consortium 2019. In Borck, H., and Kapetanakis, S. (Eds.) Proceedings of the 27th International Conference on Case-Based Reasoning Workshops, Otzenhausen, Germany, September 8-12.
Sanchez-Ruiz, A.A., and Floyd, M.W. (2019). Preface - ICCBR Doctoral Consortium 2019. In Proceedings of the 27th International Conference on Case-Based Reasoning Workshops, Otzenhausen, Germany, September 8-12.
Floyd, M.W., and Esfandiari, B. (2018). Supplemental Observation Acquisition for Learning by Observation Agents. Applied Intelligence, 48(11), 4338-4354.
Karneeb, J., Floyd, M.W., Moore, P., and Aha, D.W. (2018). Distributed discrepancy detection for beyond-visual-range air combat. AI Communications, 31(2), 181-195.
O'Connor, D., Kapetanakis, S., Floyd, M.W., Ontanon, S., and Petridis, M. (2018). Autonomous Swarm Agents Using Case-Based Reasoning. Expert Update, 18(1), 37-46.

  • A version of this paper also published as: O'Connor, D., Kapetanakis, S., Samakovitis, G., Floyd, M.W., Ontanon, S., and Petridis, M. (2018). Autonomous Swarm Agents Using Case-Based Reasoning. In Proceedings of the 38th SGAI International Conference on Artificial Intelligence, Cambridge, England, UK, December 11-13, 210-216. Springer.
Turner, J.T., Floyd, M.W., Gupta, K.M., and Aha, D.W. (2018). Novel Object Discovery using Case-Based Reasoning and Convolutional Neural Networks. In Proceedings of the 26th International Conference on Case-Based Reasoning, Stockholm, Sweden, July 9-12, 399-414. Springer.
Molineaux, M., Floyd, M.W., Dannenhauer, D., and Aha, D.W. (2018). Human-Agent Teaming as a Common Problem for Goal Reasoning. In Proceedings of the AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy, Palo Alto, California, USA, March 26-28, 572-577. AAAI Press.
Johnson, B., Floyd, M.W., Coman, A., Wilson, M.A., Aha, D.W. (2018). Goal Reasoning and Trusted Autonomy. In Abbass, H., Scholz, J., and Reid, D. (Eds.) Foundations of Trusted Autonomy. Springer.
Dannenhauer, D., Floyd, M.W., Magazzeni, D., and Aha, D.W. (2018). Explaining Rebel Behavior in Goal Reasoning Agents. In Proceedings of the Workshop on Explainable AI Planning (held at the 28th International Conference on Automated Planning and Scheduling), Delft, The Netherlands, June 24-29, 12-18.

  • This paper also published as: Dannenhauer, D., Floyd, M.W., Magazzeni, D., and Aha, D.W. (2018). Explaining Rebel Behavior in Goal Reasoning Agents. In Proceedings of the Workshop on Goal Reasoning (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19.
Floyd, M.W., Roberts, M., and Aha, D.W. (2018). Hybrid Goal Selection and Planning in a Goal Reasoning Agent Using Partially Specified Preferences. In Proceedings of the Workshop on Goal Reasoning (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19.

  • A version of this paper also published as: Floyd, M.W., Roberts, M., and Aha, D.W. (2018). Hybrid Goal Selection and Planning in a Goal Reasoning Agent Using Partially Specified Preferences (abstract). In Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, Melbourne, Florida, USA, May 21-23, 549. AAAI Press.
Dannenhauer, D., Floyd, M.W., Molineaux, M., and Aha, D.W. (2018). Learning from Exploration: Towards an Explainable Goal Reasoning Agent. In Proceedings of the Workshop on Adaptive Learning Agents (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19.
Boggs, J., Dannenhauer, D., Floyd, M.W., and Aha, D.W. (2018). The Ideal Rebellion: Maximizing Task Performance in Rebel Agents. In Proceedings of the Workshop on Goal Reasoning (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19.
Floyd, M.W., and Schack, B. (Eds.) (2018). Abstracts from the ICCBR Video Competition 2018. In Minor, M. (Ed.) Proceedings of the 26th International Conference on Case-Based Reasoning Workshops, Stockholm Sweden, July 9-12.
Floyd, M.W., and Schack, B. (2018). Preface - ICCBR Video Competition 2018. In Proceedings of the 26th International Conference on Case-Based Reasoning Workshops, Stockholm, Sweden, July 9-12, 195-196.
Kapetanakis, S., and Floyd, M.W. (Eds.) (2018). Special Track on Case-Based Reasoning. In Brawner, K., and Rus, V. (Eds.) Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, Melbourne, Florida, USA, May 21-23, AAAI Press.
Kapetanakis, S., and Floyd, M.W. (2018). Preface - Special Track on Case-Based Reasoning. In Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, Melbourne, Florida, USA, May 21-23, 370. AAAI Press.
Floyd, M.W., and Aha, D.W. (2017). Using Explanations to Provide Transparency During Trust-Guided Behavior Adaptation. AI Communications, 30(3-4), 281-294.
Floyd, M.W., Karneeb, J., Moore, P., and Aha, D.W. (2017). A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat. In Proceedings of the 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, August 19-25, 4714-4721. AAAI Press.
Floyd, M.W., Karneeb, J., and Aha, D.W. (2017). Case-based Team Recognition Using Learned Opponent Models. In Proceedings of the 25th International Conference on Case-Based Reasoning, Trondheim, Norway, June 26-28, 123-138. Springer.
Floyd, M.W., Turner, J.T., and Aha, D.W. (2017). Using Deep Learning to Automate Feature Modeling in Learning by Observation. In Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference, Marco Island, USA, May 22-24, 50-55. AAAI Press.
Hancock, W., Floyd, M.W., Molineaux, M., and Aha, D.W. (2017). Towards Deception Detection in a Language-driven Game. In Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference, Marco Island, USA, May 22-24, 388-393. AAAI Press.
Floyd, M.W., Turner, J.T., and Aha, D.W. (2017). Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study. In Proceedings of the AAAI Spring Symposium on Learning from Observation of Humans, Palo Alto, USA, March 27 - 29, 494-498. AAAI Press.
Gillespie, K., Floyd, M.W., Molineaux, M., Vattam, S.S., and Aha, D.W. (2017). Semantic Classification of Utterances in a Language-driven Game. In Cazenave, T., Winands, M., Edelkamp, S., Schiffel, S., Thielscher, M., and Togelius, J. (Eds.) Computer Games: CGW 2016 and GIGA 2016. Springer.
Ménager, D.H., Choi, D., Floyd, M.W., Task, C., and Aha, D.W. (2017). Dynamic Goal Recognition Using Windowed Action Sequences. In Proceedings of the Workshop on Plan, Activity, and Intent Recognition (held at the 31st Conference on Artificial Intelligence), San Francisco, California, USA, February 4 – 9, 843-850. AAAI Press.
Moore, P., Floyd, M.W., Karneeb, J., and Aha, D.W. (2017). Top Drone. 11th Artificial Intelligence Video Competition (held at the 31st Conference on Artificial Intelligence), San Francisco, CA. (Nominated for Most Entertaining Video Award)
Cordier, A., and Floyd, M.W. (Eds.) (2017). Abstracts from the ICCBR Video Competition 2017. In Kofod-Peterson, A., and Sanchez-Ruiz, A.A. (Eds.) Proceedings of the 25th International Conference on Case-Based Reasoning Workshops, Trondheim, Norway, June 26-28, CEUR Workshop Proceedings.
Cordier, A., and Floyd, M.W. (2017). Preface - ICCBR Video Competition 2017. In Proceedings of the 25th International Conference on Case-Based Reasoning Workshops, Trondheim, Norway, June 26-28, 285-287. CEUR Workshop Proceedings.
Floyd, M.W., and Aha, D.W. (2016). Incorporating Transparency During Trust-Guided Behavior Adaptation. In Proceedings of the 24th International Conference on Case-Based Reasoning, Atlanta, USA, October 31 - November 2, 124-138. Springer. (Nominated for Best Paper Award)
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2016). Learning Trustworthy Behaviors Using an Inverse Trust Metric. In Mittu, R., Sofge, D., Wagner, A., and Lawless, W.F. (Eds.) Robust Intelligence and Trust in Autonomous Systems. Springer.
Gillespie, K., Floyd, M.W., Molineaux, M., Vattam, S.S., and Aha, D.W. (2016). Semantic Classification of Utterances in a Language-driven Game. In Proceedings of the Computer Games Workshop (held at the 25th International Joint Conference on Artificial Intelligence), New York, New York, USA, July 9 - 15.
Karneeb, J., Floyd, M.W., Moore, P., and Aha, D.W. (2016). Distributed Discrepancy Detection for BVR Air Combat. In Proceedings of the Workshop on Goal Reasoning (held at the 25th International Joint Conference on Artificial Intelligence), New York, New York, USA, July 9 - 15.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2015). Improving Trust-Guided Behavior Adaptation Using Operator Feedback. In Proceedings of the 23rd International Conference on Case-Based Reasoning, Frankfurt am Main, Germany, September 28 - 30, 134-148. Springer.
Auslander, B., Floyd, M.W., Apker, T., Johnson, B., Roberts, M., and Aha, D.W. (2015). Learning to Estimate: A Case-Based Approach to Task Execution Prediction. In Proceedings of the 23rd International Conference on Case-Based Reasoning, Frankfurt am Main, Germany, September 28 - 30, 15-29. Springer.
Borck, H., Karneeb, J., Floyd, M.W., Alford, R., and Aha, D.W. (2015). Case-based Policy and Goal Recognition. In Proceedings of the 23rd International Conference on Case-Based Reasoning, Frankfurt am Main, Germany, September 28 - 30, 30-43. Springer.
Aha, D.W., and Floyd, M.W. (Eds.) (2015). Workshop on Case-Based Agents. In Kendall-Morwick, J. (Ed.) Proceedings of the 23rd International Conference on Case-Based Reasoning Workshops, Frankfurt am Main, Germany, September 28 - 30.
Aha, D.W., and Floyd, M.W. (2015). Preface - Workshop on Case-Based Agents. In Proceedings of the 23rd International Conference on Case-Based Reasoning Workshops, Frankfurt am Main, Germany, September 28 - 30, 9-11.

Gillespie, K., Molineaux, M., Floyd, M.W., Vattam, S.S., and Aha, D.W. (2015). Goal Reasoning for an Autonomous Squad Member. In Proceedings of the Workshop on Goal Reasoning (held at the 3rd Conference on Advances in Cognitive Systems), Atlanta, Georgia, USA, May 28 - 31, 52-67.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2015). Trust-Guided Behavior Adaptation Using Case-Based Reasoning. In Proceedings of the 24th International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, July 25 - 31, 4261-4267. AAAI Press.
Vattam, S.S., Aha, D.W., and Floyd, M.W. (2015). Error Tolerant Plan Recognition: An Empirical Investigation. In Proceedings of the 28th Florida Artificial Intelligence Research Society Conference, Hollywood, Florida, USA, May 18 - 20, 397-402. AAAI Press.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2014). How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust. In Proceedings of the 22nd International Conference on Case-Based Reasoning, Cork, Ireland, September 29 - October 1, 125-139. Springer. (Best Paper Award)
Vattam, S.S., Aha, D.W., and Floyd, M.W. (2014). Case-Based Plan Recognition Using Action Sequence Graphs. In Proceedings of the 22nd International Conference on Case-Based Reasoning, Cork, Ireland, September 29 - October 1, 495-510. Springer.
Andreeva, V., Beland, J., Gaudreau, S., Floyd, M.W., and Esfandiari, B. (2014). Creating Non-Player Characters in a First-Person Shooter Game Using Learning by Observation. In Proceedings of the Workshop on Case-Based Agents (held at the 22nd International Conference on Case-Based Reasoning), Cork, Ireland, September 29 - October 1, 37-46.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2014). Adapting Autonomous Behavior Based on an Estimate of an Operator's Trust (extended abstract). In Proceedings of the AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction, Arlington, Virginia, USA, November 13-15, 68-69. AAAI Press.
Floyd, M. W., Drinkwater, M., and Aha, D.W. (2014). Adapting Autonomous Behavior Using an Inverse Trust Estimation. In Proceedings of the 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30 - July 3, 728-742. Springer.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2014). Case-Based Behavior Adaptation Using an Inverse Trust Metric. In Proceedings of the Workshop on Artificial Intelligence and Robotics (held at the 28th Conference on Artificial Intelligence), Quebec City, Canada, July 27-31, 16-21.
Floyd, M.W., and Esfandiari, B. (2013). Analysis and Cleaning of User Traces Through Comparison of Multiple Traces. In Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference, St. Pete Beach, Florida, USA, May 22-24, 375-380. AAAI Press.
Analysis and Cleaning of User Traces Through Comparison of Multiple Traces [bib] Analysis and Cleaning of User Traces Through Comparison of Multiple Traces [pdf] Analysis and Cleaning of User Traces Through Comparison of Multiple Traces [info]
Ontañón, S., and Floyd, M.W. (2013). A Comparison of Case Acquisition Strategies for Learning from Observations of State-based Experts. In Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference, St. Pete Beach, Florida, USA, May 22-24, 387-392. AAAI Press.
A Comparison of Case Acquisition Strategies for Learning from Observations of State-based Experts [bib] A Comparison of Case Acquisition Strategies for Learning from Observations of State-based Experts [pdf] A Comparison of Case Acquisition Strategies for Learning from Observations of State-based Experts [info]
Floyd, M.W., and Rubin, J. (Eds.) (2013). Proceedings of the 21st International Conference on Case-Based Reasoning Workshops, Saratoga Springs, New York, USA, July 8-11.
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Floyd, M.W., and Ontañón, S. (Eds.) (2013). Special Track on Case-Based Reasoning. In Boonthum-Denecke, C., and Youngblood, G.M. (Eds.) Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference, St. Pete Beach, Florida, USA, May 22-24, AAAI Press.
Floyd, M.W., Bicakci, M.V., and Esfandiari, B. (2013). Task-independent Learning by Observation. 7th Artificial Intelligence Video Competition (held at the 27th Conference on Artificial Intelligence), Bellevue, Washington, USA.
Task-independent Learning by Observation
Floyd, M.W., and Rubin, J. (2013). Preface - ICCBR 2013 Workshops. In Proceedings of the 21st International Conference on Case-Based Reasoning Workshops, Saratoga Springs, New York, USA, July 8-11, i-iii.
Preface - ICCBR 2013 Workshops [pdf]
Floyd, M.W., and Ontañón, S. (2013). Preface - Special Track on Case-Based Reasoning. In Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference, St. Pete Beach, Florida, USA, May 22-24, 356. AAAI Press.
Preface - Special Track on Case-Based Reasoning [pdf]
Floyd, M.W., and Esfandiari, B. (2012). Learning State-Based Behaviour using Temporally Related Cases. Expert Update, 12(2), 14-25.
Learning State-Based Behaviour using Temporally Related Cases [bib]
Floyd, M.W., Bicakci, M.V. and Esfandiari, B. (2012). Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation. In Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, Marco Island, Florida, USA, May 23-25, 323-328. AAAI Press.
Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation [bib] Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation [pdf] Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation [info]
Floyd, M.W., and Sánchez-Ruiz, A.A. (Eds.) (2012). Special Track on Case-Based Reasoning. In Youngblood, G.M., and McCarthy, P.M. (Eds.) Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, Marco Island, Florida, USA, May 23-25, AAAI Press.
Floyd, M.W., Fuchs, B., González-Calero, P.A., Leake, D., Ontañón, S., Plaza, E., and Rubin, J. (Eds.) (2012). Workshop on "TRUE: Traces for Reusing Users' Experiences - Cases, Episodes, and Stories". In Lamontagne, L., and Recio Garcia, J.A. (Eds.) Proceedings of the 20th International Conference on Case-Based Reasoning Workshops, Lyon, France, September 3-6.
Floyd, M.W., and Sánchez-Ruiz, A.A. (2012). Preface - Special Track on Case-Based Reasoning. In Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, Marco Island, Florida, USA, May 23-25, 322. AAAI Press.
Preface - Special Track on Case-Based Reasoning [pdf]
Floyd, M.W., Fuchs, B., González-Calero, P.A., Leake, D., Ontañón, S., Plaza, E., and Rubin, J. (2012). Preface - Workshop on "TRUE: Traces for Reusing Users' Experiences - Cases, Episodes, and Stories". In Proceedings of the 20th International Conference on Case-Based Reasoning Workshops, Lyon, France, September 3-6, 147-150.
Preface - Workshop on TRUE: Traces for Reusing Users’ Experiences – Cases, Episodes, and Stories
Floyd, M.W., and Esfandiari, B. (2011). A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation. In Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, Florida, USA, November 7-9, 531-538. IEEE Computer Society Press.
A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation [bib] A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation [pdf] A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation [info]
Floyd, M.W., and Esfandiari, B. (2011). Supplemental Case Acquisition using Mixed-Initiative Control. In Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference, Palm Beach, Florida, USA, May 18-20, 395-400. AAAI Press.
Supplemental Case Acquisition using Mixed-Initiative Control [bib] Supplemental Case Acquisition using Mixed-Initiative Control [pdf] Supplemental Case Acquisition using Mixed-Initiative Control [info]
Floyd, M.W., and Esfandiari, B. (2011). Learning State-Based Behaviour using Temporally Related Cases. In Proceedings of the 16th United Kingdom Workshop on Case-Based Reasoning (held at the 31st International Conference of the British Computer Society's Specialist Group on Artificial Intelligence), Cambridge, England, UK, December 13-15, 34-45.
Learning State-Based Behaviour using Temporally Related Cases [bib] Learning State-Based Behaviour using Temporally Related Cases [pdf]
Floyd, M.W., and Esfandiari, B. (2011). Building Learning by Observation Agents Using jLOAF. In Proceedings of Workshop on Case-Based Reasoning for Computer Games (held at the 19th International Conference on Case-Based Reasoning), Greenwich, England, UK, September 12-15, 37-41.
Building Learning by Observation Agents Using jLOAF [bib] Building Learning by Observation Agents Using jLOAF [pdf]
Floyd, M.W., and Sánchez-Ruiz, A.A. (Eds.) (2011). Workshop on Case-Based Reasoning for Computer Games. In Cordier, A., and Diaz Agudo, B. (Eds.) Proceedings of the 19th International Conference on Case-Based Reasoning Workshops, Greenwich, London, UK, September 12-15.
Floyd, M.W. (2011). Case-Based Reasoning in Games. 5th Artificial Intelligence Video Competition (held at the 25th Conference on Artificial Intelligence), San Francisco, California, USA. (Nominated for Most Innovative Video Award)
Case-Based Reasoning in Games
Floyd, M.W., and Sánchez-Ruiz, A.A. (2011). Preface - Workshop on Case-Based Reasoning for Computer Games. In Proceedings of the 19th International Conference on Case-Based Reasoning Workshops, Greenwich, London, UK, September 12-15, 13-15.
Preface - Workshop on Case-Based Reasoning for Computer Games [pdf]
Floyd, M.W., and Wainer. G.A. (2010). Creation of DEVS Models Using Imitation Learning. In Proceedings of the 42nd Summer Computer Simulation Conference, Ottawa, Canada, July 11-14, 334-341. SCS Press.
An Creation of DEVS Models using Imitation Learning [bib] An Creation of DEVS Models using Imitation Learning [pdf] An Creation of DEVS Models using Imitation Learning [info]
Floyd, M.W., and Esfandiari, B. (2010). Toward a Domain-independent Case-based Reasoning Approach for Imitation: Three Case Studies in Gaming. In Proceedings of the Workshop on Case-Based Reasoning for Computer Games (held at the 18th International Conference on Case-Based Reasoning), Alessandria, Italy, July 19-22, 55-64.
An Toward a Domain-independent Case-based Reasoning Approach for Imitation: Three Case Studies in Gaming [bib] An Toward a Domain-independent Case-based Reasoning Approach for Imitation: Three Case Studies in Gaming [pdf]
Acosta, E., Esfandiari, B., and Floyd, M.W. (2010). Feature Selection for CBR in Imitation of RoboCup Agents: A Comparative Study. In Proceedings of the Workshop on Case-Based Reasoning for Computer Games (held at the 18th International Conference on Case-Based Reasoning), Alessandria, Italy, July 19-22, 25-34.
An Feature Selection for CBR in Imitation of RoboCup Agents: A Comparative Study [bib] An Feature Selection for CBR in Imitation of RoboCup Agents: A Comparative Study [pdf]
Floyd, M.W., and Esfandiari, B. (2010). Case-Based Imitation: A Sequel. 4th Artificial Intelligence Video Competition (held at the 24th Conference on Artificial Intelligence), Atlanta, Georgia, USA. (Best Video Award)
Case-Based Reasoning in Games
Floyd, M.W., and Esfandiari, B. (2009). An Active Approach to Automatic Case Generation. In Proceedings of the 8th International Conference on Case-Based Reasoning, Seattle, Washington, USA, July 20-23, 150-164. Springer.
An Active Approach to Automatic Case Generation [bib] An Active Approach to Automatic Case Generation [pdf] An Active Approach to Automatic Case Generation [info]
Floyd, M. W., and Esfandiari, B. (2009). Comparison of Classifiers for use in a Learning by Demonstration System for a Situated Agent. In Proceedings of the Workshop on Case-Based Reasoning for Computer Games (held at the 8th International Conference on Case-Based Reasoning), Seattle, Washington, USA, July 20-23, 87-96.
Comparison of Classifiers for use in a Learning by Demonstration System for a Situated Agent [bib] Comparison of Classifiers for use in a Learning by Demonstration System for a Situated Agent [pdf]
Bellinger, C., Lalonde, J., Floyd, M.W., Mallur, V., Elkanzi, E., Ghazi, D., He, J., Mouttham, A., Scaiano, M., Wehbe, E., and Japkowicz, N. (2009). An Evaluation of the Value Added by Informative Metrics. In Proceedings of the 4th Workshop on Evaluation Methods for Machine Learning (held at the 26th International Conference on Machine Learning), Montreal, Canada, June 14-18.
An Evaluation of the Value Added by Informative Metrics [bib] An Evaluation of the Value Added by Informative Metrics [pdf]
Floyd, M.W., Davoust, A., and Esfandiari, B. (2008). Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation. In Proceedings of the 9th European Conference on Case-Based Reasoning, Trier, Germany, September 1-4, 195-209. Springer.
Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation [bib]Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation [pdf]Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation [info]
Davoust, A., Floyd, M.W., and Esfandiari, B. (2008). Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning. In Proceedings of the 21st Conference of the Canadian Society for Computational Studies of Intelligence, Windsor, Canada, May 28-30, 72-83. Springer.
Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning [bib]Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning [pdf]Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning [info]
Floyd, M.W., Esfandiari, B., and Lam, K. (2008). A Case-Based Reasoning Approach to Imitating RoboCup Players. In Proceedings of the 21st International Florida Artificial Intelligence Research Society Conference, Coconut Grove, Florida, USA, May 15-17, 251-256. AAAI Press.
A Case-Based Reasoning Approach to Imitating RoboCup Players [bib]A Case-Based Reasoning Approach to Imitating RoboCup Players [pdf]A Case-Based Reasoning Approach to Imitating RoboCup Players [info]
Floyd, M.W., and Esfandiari, B. (2008). Imitating a RoboCup Soccer Player Using Case-Based Reasoning. 2nd Artificial Intelligence Video Competition (held at the 23rd Conference on Artificial Intelligence), Chicago, Illinois, USA. (Best Educational Video Award & Nominated for Best Demonstration Video Award)
Case-Based Reasoning in Games
Floyd, M.W. (2013). A General-Purpose Framework for Learning by Observation. PhD Thesis, Carleton University, Ottawa, Canada.
A General-Purpose Framework for Learning by Observation [bib]A General-Purpose Framework for Learning by Observation [pdf]
Floyd, M.W. (2008). Improving the Performance of a RoboCup Case-Based Imitation Agent through Preprocessing of the Case Base. Master's Thesis, Carleton University, Ottawa, Canada.
Improving the Performance of a RoboCup Case-Based Imitation Agent through Preprocessing of the Case Base [bib]Improving the Performance of a RoboCup Case-Based Imitation Agent through Preprocessing of the Case Base [pdf]Improving the Performance of a RoboCup Case-Based Imitation Agent through Preprocessing of the Case Base [ppt]
Pan, Y., Smith, B., Fang, H., Floyd, M. W, Famili, F. A., Walker, R., and Sikorska, M. (2005). cisDB: A database for cis-regulatory elements of eukaryotes. In National Research Council of Canada - Genomics and Health Initiative Annual General Meeting, Gatineau, Quebec, Canada.
cisDB: A database for cis-regulatory elements of eukaryotes [bib]cisDB: A database for cis-regulatory elements of eukaryotes [pdf]