David V. Pynadath

Pynadath, D. V., Wang, N., Greenwald, E., Mayfield-Ingram, K. E., Asturias, H., Cannady, M. A., Collins, M. A., Cavero, D. A., Hurt, T., Fu, B., Kapadia, A., Dinccer, B., Masur, O., Kumar, R., & Merchant, C. (2026). The 7th Patient: Lessons learned from an educational game for high-school AI and probability education. In Proceedings of the International Conference on Education and New Learning Technologies.

Pynadath, D. V., Wang, N., Greenwald, E., Mayfield-Ingram, K. E., Asturias, H., Cannady, M. A., Collins, M. A., Cavero, D. A., Hurt, T., Fu, B., Kapadia, A., Dinccer, B., Masur, O., Kumar, R., & Merchant, C. (2026). The 7th Patient: Building a Student Model from an Educational Game for High-School AI and Probability Education. In International Conference on Human-Computer Interaction.

Pynadath, D. V., Wang, N., Greenwald, E., Mayfield-Ingram, K. E., Asturias, H., Cannady, M. A., Collins, M. A., Cavero, D. A., Hurt, T., Fu, B., Kapadia, A., Dinccer, B., Masur, O., Kumar, R., & Merchant, C. (2026). The 7th Patient: An Evaluation of an Educational Game for High-School AI and Probability Education. In International Conference on Human-Computer Interaction.

Gurney, N., Pynadath, D. V., & Miller, J. H. (2025). Willingness to work as a predictor of human-agent team success. Frontiers in Computer Science, 7, 1405436.

Gurney, N., Hughes, D., Pynadath, D. V., & Wang, N. (2025). Theory of mind in robots and intelligent systems.

Pynadath, D. V., Wang, N., Greenwald, E., Mayfield-Ingram, K. E., Asturias, H., Cannady, M. A., Collins, M. A., Cavero, D. A., Hurt, T., Fu, B., Kapadia, A., Dinccer, B., Masur, O., Kumar, R., & Merchant, C. (2025). The 7textsuperscriptth Patient: An Educational Game for High-School AI and Probability Education. In Proceedings of the International Conference on Education, Research and Innovation (pp. 9070–9079).

Behzad, T., Gurney, N., Wang, N., & Pynadath, D. V. (2025). Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration. In HCI International 2025 – Late Breaking Papers (pp. 105–131).

Wang, N., Pynadath, D. V., & Gurney, N. (2023). The Design of Transparency Communication for Human-Multirobot Teams. In Proceedings of the International Conference on Human-Computer Interaction.

Wu, H., Sequeira, P., & Pynadath, D. (2023). Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems.

Pynadath, D. V., Gurney, N., Kenny, S., Kumar, R., Marsella, S. C., Matuszak, H., Mostafa, H., Sequeira, P., Ustun, V., & Wu, P. (2023). Improving Teamwork through a Decision-Theoretic Coach in a Minecraft Search-and-Rescue Game. In Proceedings of the International Conference on Computers in Education.

Pynadath, D. V., Gurney, N., Kenny, S., Kumar, R., Marsella, S. C., Mostafa, H., Sequeira, P., Ustun, V., & Wu, P. (2023). Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task. In International Conference on Autonomous Agents and Multiagent Systems.

Gurney, N., Pynadath, D. V., & Wang, N. (2023). Comparing Psychometric and Behavioral Predictors of Compliance During Human-AI Interactions. In International Conference on Persuasive Technology (pp. 175-197).

Gurney, N. & Pynadath, D. V. (2022). Robots with Theory of Mind for Humans: A Survey. In IEEE International Conference on Robot and Human Interactive Communication (pp. 993-1000).

Gurney, N., Pynadath, D. V., & Wang, N. (2022). Measuring and Predicting Human Trust in Recommendations from an AI Teammate. In International Conference on Human-Computer Interaction.

Pynadath, D. V., Gurney, N., Marsella, S. C., Mostafa, H., Sequeira, P., Ustun, V., & Wu, P. (2022). Inferring Player and Team Models in a Minecraft Search-and-Rescue Task. In Interservice/Industry Training, Simulation and Education Conference.

Pynadath, D. V., Gurney, N., & Wang, N. (2022). Explainable Reinforcement Learning in Human-Robot Teams: The Impact of Decision-Tree Explanations on Transparency. In IEEE International Conference on Robot and Human Interactive Communication.

Pynadath, D. V., Dilkina, B., Jeong, D. C., John, R. S., Marsella, S. C., Merchant, C., Miller, L. C., & Read, S. J. (2022). Disaster World: Decision-theoretic agents for simulating population responses to hurricanes. Computational and Mathematical Organization Theory, Special Issue on Ground Truth: In Silico Social Science.

Pynadath, D. V., Jalal-Kamali, A., & Merchant, C. (2022). Autonomous Generation of Intelligent Patterns of Life. In Interservice/Industry Training, Simulation and Education Conference.

Wang, Y., Gurney, N., Zhou, J., Pynadath, D., & Ustun, V. (2021). Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent. In Proceedings of the AAAI Fall Symposium on Computational Theory of Mind for Human-Machine Teams.

Gurney, N., Marsella, S., Ustun, V., & Pynadath, D. V. (2021). Operationalizing Theories of Theory of Mind: A Survey. In AAAI Fall Symposium on Computational Theory of Mind for Human-Machine Teams.

Barnes, M. J., Wang, N., Pynadath, D. V., & Chen, J. Y. (2021). Human-agent bidirectional transparency. In Trust in Human-Robot Interaction (pp. 209-232).

Johnson, M., Wang, N., & Pynadath, D. V. (2019). Simulating Team Tutoring in Multiagent Environments. In Proceedings of the AIED Workshop on Approaches and Challenges in Team Tutoring.

Zhu, R., Becerik-Gerber, B., Lucas, G., Southers, E., & Pynadath, D. V. (2019). Information Requirements for Virtual Environments to Study Human-Building Interactions during Active Shooter Incidents. In Proceedings of the ASCE International Conference on Computing in Civil Engineering.

Pynadath, D. V., Wang, N., & Kamireddy, S. (2019). A Markovian Method for Predicting Trust Behavior in Human-Agent Interaction. In Proceedings of the International Conference on Human-Agent Interaction.

Pynadath, D. V., Wang, N., & Barnes, M. J. (2018). Transparency Communication for Reinforcement Learning in Human Robot Interactions. In Proceedings of the Workshop on Explainable Artificial Intelligence (pp. 123-129).

Pynadath, D. V., Barnes, M. J., Wang, N., & Chen, J. Y. (2018). Transparency Communication for Machine Learning in Human-Automation Interaction. In Human and Machine Learning (pp. 75-90).

Pynadath, D. V., Wang, N., & Yang, R. (2018). Simulating Collaborative Learning Through Decision-Theoretic Agents. In Proceedings of the AIED Workshop on Assessment and Intervention during Team Tutoring.

Wang, N., Pynadath, D., Rovira, E., Barnes, M., & Hill, S. (2018). Is it my looks? Or something I said? The Impact of Explanations, Embodiment, and Expectations on Trust and Performance in Human-Robot Teams. In Proceedings of the International Conference on Persuasive Technology (pp. 56-69).

Pynadath, D. V., Wang, N., Rovira, E., & Barnes, M. J. (2018). Clustering Behavior to Recognize Subjective Beliefs in Human-Agent Teams. In International Conference on Autonomous Agents and Multiagent Systems (pp. 1495-1503).

Jalal-Kamali, A. & Pynadath, D. V. (2018). Agent-Based Psychological Simulation of Geo-Political Actors Using News Articles. In Proceedings of the FAIM Workshop on AI and Computational Psychology: Theories, Algorithms and Applications.

Pynadath, D. V., Wang, N., Rovira, E., & Barnes, M. J. (2018). A Nearest-Neighbor Approach to Recognizing Subjective Beliefs in Human-Robot Interaction. In AAAI Workshop on Plan, Activity, and Intent Recognition.

Wang, N., Pynadath, D. V., Hill, S. G., & Merchant, C. (2017). The Dynamics of Human-Agent Trust with POMDP-Generated Explanations. In International Conference on Intelligent Virtual Agents (pp. 459-462).

Wang, N., Pynadath, D. V., & Hill, S. G. (2016). Trust calibration within a human-robot team: Comparing automatically generated explanations. In International Conference on Human-Robot Interaction.

Georgila, K. & Pynadath, D. V. (2016). Towards a Computational Model of Human Opinion Dynamics in Response to Real-World Events. In International FLAIRS Conference.

Jalal-Kamali, A. & Pynadath, D. V. (2016). Toward a Bayesian Network Model of Events in International Relations. In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation.

Wang, N., Pynadath, D. V., & Hill, S. G. (2016). The Impact of POMDP-Generated Explanations on Trust and Performance in Human-Robot Teams. In International Conference on Autonomous Agents and Multiagent Systems (pp. 997-1005).

Pynadath, D. V., Rosoff, H., & John, R. S. (2016). Semi-Automated Construction of Decision-Theoretic Models of Human Behavior. In International Conference on Autonomous Agents and Multiagent Systems.

Pynadath, D. V., Wang, N., & Merchant, C. (2015). Toward Acquiring a Human Behavior Model of Competition vs. Cooperation. In Interservice/Industry Training, Simulation and Education Conference.

Wang, N., Pynadath, D. V., & Marsella, S. C. (2015). Subjective Perceptions in Wartime Negotiation. IEEE Transactions on Affective Computing, 6(2), 118-126.

Wang, N., Pynadath, D. V., Shankar, S., K.V., U., & Merchant, C. (2015). Intelligent Agents for Virtual Simulation of Human-Robot Interaction. In International Conference on Human-Computer Interaction (pp. 228-329).

Gratch, J., Hill, S., Morency, L., Pynadath, D., & Traum, D. (2015). Exploring the implications of virtual human research for human-robot teams. In International Conference on Human-Computer Interaction (pp. 186-196).

Alfonso, B., Pynadath, D. V., Lhommet, M., & Marsella, S. (2015). Emotional Perception for Updating Agents' Beliefs. In International Conference on Affective Computing and Intelligent Interaction (pp. 201-207).

Wang, N., Pynadath, D. V., & Hill, S. G. (2015). Building Trust In a Human-Robot Team. In Interservice/Industry Training, Simulation and Education Conference.

McAlinden, R., Pynadath, D., & Hill, R. W. (2014). UrbanSim: Using Social Simulation to Train for Stability Operations. In Understanding Megacities with the Reconnaissance, Surveillance, and Intelligence Paradigm (pp. 90-99).

Pynadath, D. V., Rosenbloom, P. S., & Marsella, S. C. (2014). Reinforcement Learning for Adaptive Theory of Mind in the Sigma Cognitive Architecture. In Conference on Artificial General Intelligence (pp. 143-154).

Sukthankar, G., Goldman, R. P., Geib, C., Pynadath, D. V., & Bui, H. H. (2014). Plan, Activity, and Intent Recognition: Theory and Practice.

Pynadath, D. V., Si, M., & Marsella, S. C. (2014). Modeling Theory of Mind and Cognitive Appraisal with Decision-Theoretic Agents. In Social emotions in nature and artifact: Emotions in human and human-computer interaction (pp. 70-87).

Sarratt, T., Pynadath, D., & Jhala, A. (2014). Converging to a Player Model in Monte-Carlo Tree Search. In Proceedings of the IEEE Conference on Computational Intelligence and Games (pp. 169-175).

Wang, N., Pynadath, D. V., & Marsella, S. C. (2013). Subjective Perceptions in Wartime Negotiation. In International Conference on Affective Computing and Intelligent Interaction (pp. 540-545).

Pynadath, D. V. & Marsella, S. C. (2013). Socio-Cultural Modeling through Decision-Theoretic Agents with Theory of Mind. In Advances in Design for Cross-Cultural Activities (pp. 417-426).

Pynadath, D. V., Rosenbloom, P. S., Marsella, S. C., & Li, L. (2013). Modeling Two-Player Games in the Sigma Graphical Cognitive Architecture. In Conference on Artificial General Intelligence (pp. 98-108).

Pynadath, D. V., Wang, N., & Marsella, S. C. (2013). Computational Models of Human Behavior in Wartime Negotiations. In Annual Conference of the Cognitive Science Society (pp. 1175-1180).

Pynadath, D. V., Wang, N., & Marsella, S. C. (2013). Are you thinking what I'm thinking? An Evaluation of a Simplified Theory of Mind. In International Conference on Intelligent Virtual Agents (pp. 44-57).

Wang, N., Pynadath, D. V., & Marsella, S. C. (2012). Toward Automatic Verification of Multiagent Systems for Training Simulations. In International Conference on Intelligent Tutoring Systems (pp. 151-161).

Chen, J., Demski, A., Han, T., Morency, L., Pynadath, D., Rafidi, N., & Rosenbloom, P. (2011). Fusing Symbolic and Decision-Theoretic Problem Solving and Perception in a Graphical Cognitive Architecture. In International Conference on Biologically Inspired Cognitive Architectures (pp. 64-72).

Ito, J. Y., Pynadath, D. V., Sonenberg, L., & Marsella, S. C. (2010). Wishful thinking in effective decision making. In International Conference on Autonomous Agents and Multiagent Systems (pp. 1527-1528).

Ito, J. Y., Pynadath, D. V., & Marsella, S. C. (2010). Modeling self-deception within a decision-theoretic framework. Journal of Autonomous Agents and Multiagent Systems, 20(1), 3-13.

Si, M., Marsella, S. C., & Pynadath, D. V. (2010). Modeling appraisal in theory of mind reasoning. Journal of Autonomous Agents and Multiagent Systems, 20(1), 14-31.

Si, M., Marsella, S., & Pynadath, D. (2010). Importance of well-motivated characters in interactive narratives: An empirical evaluation. In International Conference on Interactive Digital Storytelling (pp. 16-25).

Si, M., Marsella, S. C., & Pynadath, D. V. (2010). Evaluating directorial control in a character-centric interactive narrative framework. In International Conference on Autonomous Agents and Multiagent Systems (pp. 1289-1296).

McAlinden, R., Gordon, A., Lane, H. C., & Pynadath, D. (2009). UrbanSim: A Game-based Simulation for Counterinsurgency and Stability-focused Operations. In AIED Workshop on Intelligent Educational Games (pp. 41-50).

Ito, J., Pynadath, D., & Marsella, S. (2009). Self-Deceptive Decision Making: Normative and Descriptive Insights. In International Conference on Autonomous Agents and Multiagent Systems (pp. 1113-1120).

Si, M., Marsella, S. C., & Pynadath, D. V. (2009). Directorial Control in a Decision-Theoretic Framework for Interactive Narrative. In International Conference on Interactive Digital Storytelling (pp. 221-233).

Kim, J. M., Hill, R. W., Durlach, P. J., Lane, H. C., Forbell, E., Core, M., Marsella, S., Pynadath, D., & Hart, J. (2009). BiLAT: A Game-Based Environment for Practicing Negotiation in a Cultural Context. International Journal of Artificial Intelligence in Education, 19(3), 289-308.

Ito, J., Pynadath, D., & Marsella, S. (2008). Modeling Self-Deception within a Decision-theoretic Framework. In International Conference on Intelligent Virtual Agents (pp. 322-333).

Si, M., Marsella, S., & Pynadath, D. (2008). Modeling Emotion as Byproduct of Theory of Mind Reasoning. In International Conference on Intelligent Virtual Agents (pp. 334-347).

Tambe, M., Bowring, E., Pearce, J. P., Varakantham, P., Scerri, P., & Pynadath, D. V. (2008). Electric Elves: What Went Wrong and Why. Artificial Intelligence Magazine, 29(2), 23-31.

Si, M., Marsella, S., & Pynadath, D. V. (2007). Proactive Authoring for Interactive Drama: An Author's Assistant. In International Conference on Intelligent Virtual Agents (pp. 225-237).

Pynadath, D. V. & Marsella, S. C. (2007). Minimal Mental Models. In National Conference on Artificial Intelligence (pp. 1038-1046).

Pynadath, D. V. & Marsella, S. C. (2007). Derivation of Minimal Mental Models. In Proceedings of the AISB Symposium on Mindful Environments (pp. 372-376).

Ito, J. Y., Pynadath, D. V., & Marsella, S. C. (2007). A Decision-Theoretic Approach to Evaluating Posterior Probabilities of Mental Models. In AAAI Workshop on Plan, Activity, and Intent Recognition (pp. 60-65).

Si, M., Marsella, S., & Pynadath, D. V. (2006). Thespian: Modeling Socially Normative Behavior in a Decision-Theoretic Framework. In International Conference on Intelligent Virtual Agents (pp. 369-382).

Si, M., Marsella, S. C., & Pynadath, D. V. (2005). Thespian: Using Multi-Agent Fitting to Craft Interactive Drama. In International Conference on Autonomous Agents and Multiagent Systems (pp. 21-28).

Si, M., Marsella, S. C., & Pynadath, D. V. (2005). THESPIAN: An Architecture for Interactive Pedagogical Drama. In International Conference on Artificial Intelligence in Education (pp. 595-602).

Pynadath, D. V. & Marsella, S. C. (2005). PsychSim: Modeling Theory of Mind with Decision-Theoretic Agents. In International Joint Conference on Artificial Intelligence (pp. 1181-1186).

Tambe, M., Bowring, E., Jung, H., Kaminka, G. A., Maheswaran, R. T., Marecki, J., Modi, P. J., Nair, R., Okamoto, S., Pearce, J. P., Paruchuri, P., Pynadath, D. V., Scerri, P., Schurr, N., & Varakantham, P. (2005). Conflicts in teamwork: hybrids to the rescue. In International Conference on Autonomous Agents and Multiagent Systems (pp. 3-10).

Scerri, P., Pynadath, D. V., Schurr, N., Farinelli, A., Gandhe, S., & Tambe, M. (2004). Team Oriented Programming and Proxy Agents: The Next Generation. In Proceedings of the First International Workshop on Programming Multi-Agent Systems (pp. 131-148).

Marsella, S. C., Pynadath, D. V., & Read, S. J. (2004). PsychSim: Agent-based modeling of social interactions and influence. In International Conference on Cognitive Modeling (pp. 243-248).

Pynadath, D. V. & Marsella, S. C. (2004). Fitting and Compilation of Multiagent Models through Piecewise Linear Functions. In International Conference on Autonomous Agents and Multiagent Systems (pp. 1197-1204).

Nair, R., Tambe, M., Yokoo, M., Pynadath, D., & Marsella, S. (2003). Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings. In International Joint Conference on Artificial Intelligence (pp. 705-711).

Pynadath, D. V. & Tambe, M. (2003). An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans. Journal of Autonomous Agents and Multiagent Systems, 7, 71-100.

Scerri, P., Pynadath, D., Johnson, L., Rosenbloom, P., Si, M., Schurr, N., & Tambe, M. (2003). A Prototype Infrastructure for Distributed Robot-Agent-Person Teams. In International Conference on Autonomous Agents and Multiagent Systems (pp. 433-440).

Scerri, P., Pynadath, D. V., & Tambe, M. (2002). Why the elf acted autonomously: Towards a theory of adjustable autonomy. In International Conference on Autonomous Agents and Multiagent Systems (pp. 857-864).

Nair, R., Pynadath, D., Yokoo, M., Tambe, M., & Marsella, S. (2002). Towards Computing Optimal Policies for Decentralized POMDPs. In AAAI Workshop on Game Theoretic and Decision Theoretic Agents.

Scerri, P., Pynadath, D. V., & Tambe, M. (2002). Towards Adjustable Autonomy for the Real World. Journal of Artificial Intelligence Research, 17, 171-228.

Pynadath, D. V. & Tambe, M. (2002). The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models. Journal of Artificial Intelligence Research, 16, 389-423.

Pynadath, D. V. & Tambe, M. (2002). Team Coordination among Distributed Agents: Analyzing Key Teamwork Theories and Models. In Proceedings of the AAAI Spring Symposium on Intelligent Distributed and Embedded Systems (pp. 57-62).

Nair, R., Tambe, M., Marsella, S., & Pynadath, D. (2002). R-COM-MTDP: Forming and Comparing Plans for Team Formation in Multiagent Domains. In Proceedings of the AAAI Workshop on Planning for and with Multiagent Systems.

Pynadath, D. V. & Tambe, M. (2002). Multiagent Teamwork: Analyzing the Optimality and Complexity of Key Theories and Models. In International Conference on Autonomous Agents and Multiagent Systems (pp. 873-880).

Kaminka, G., Pynadath, D. V., & Tambe, M. (2002). Monitoring teams by overhearing: A Multi-Agent Plan-Recognition Approach. Journal of Artificial Intelligence Research, 17, 83-135.

Nair, R., Tambe, M., Marsella, S., & Pynadath, D. (2002). Model for Team Formation for Reformation in Multiagent Systems. In Proceedings of the AAAI Workshop on Coalition Formation.

Nair, R., Tambe, M., Marsella, S., & Pynadath, D. (2002). Formalizing Team Formation and Reformation in Multiagent Systems. In Proceedings of the AAMAS Workshop on Teamwork and Coalition Formation.

Chalupsky, H., Gil, Y., Knoblock, C. A., Lerman, K., Oh, J., Pynadath, D. V., Russ, T. A., & Tambe, M. (2002). Electric Elves: Agent technology for supporting human organizations. Artificial Intelligence Magazine, 23(2), 11-24.

Pynadath, D. V. & Tambe, M. (2002). Electric Elves: Adjustable Autonomy in Real-world Multi-Agent Environments. In Socially Intelligent Agents: Creating Relationships with Computers and Robots (pp. 101-108).

Tambe, M. & Pynadath, D. V. (2001). Towards Heterogeneous Agent Teams. In Multi-Agent Systems and Applications (pp. 187-210).

Pynadath, D. V. & Tambe, M. (2001). Revisiting Asimov's First Law: A Response to the Call to Arms. In Proceedings of the IJCAI Workshop on Autonomy, Delegation, and Control: Interacting with Autonomous Agents.

Pynadath, D. V. & Tambe, M. (2001). Revisiting Asimov's First Law: A Response to the Call to Arms. In Intelligent Agents VIII: Agent Theories, Architectures and Languages (pp. 307-320).

Kaminka, G., Pynadath, D. V., & Tambe, M. (2001). Monitoring Deployed Agent Teams. In International Conference on Autonomous Agents (pp. 308-315).

Pynadath, D. V., Scerri, P., & Tambe, M. (2001). MDPs for Adjustable Autonomy in Real-World Multi-Agent Environments. In Proceedings of the AAAI Spring Symposium on Game Theoretic and Decision Theoretic Agents (pp. 107-116).

Chalupsky, H., Gil, Y., Knoblock, C. A., Lerman, K., Oh, J., Pynadath, D. V., Russ, T. A., & Tambe, M. (2001). Electric Elves: Applying agent technology to support human organizations. In Annual Conference on Innovative Applications of Artificial Intelligence (pp. 51-58).

Tambe, M., Pynadath, D., & Scerri, P. (2001). Adjustable Autonomy: A Response. In Proceedings of the International Workshop on Agent Theories, Architectures, and Languages (pp. 354-356).

Scerri, P., Pynadath, D. V., & Tambe, M. (2001). Adjustable Autonomy in Real-World Multi-Agent Environments. In International Conference on Autonomous Agents (pp. 300-307).

Pynadath, D. V., Tambe, M., & Kaminka, G. A. (2001). Adaptive Infrastructures for Agent Integration. In Lecture Notes in Computer Science (pp. 80-93).

Pynadath, D. V. & Wellman, M. P. (2000). Probabilistic State-Dependent Grammars for Plan Recognition. In Conference on Uncertainty in Artificial Intelligence (pp. 507-514).

Pynadath, D. V., Tambe, M., Arens, Y., Chalupsky, H., Gil, Y., Knoblock, C., Lee, H., Lerman, K., Oh, J., Ramachandran, S., Rosenbloom, P. S., & Russ, T. (2000). Electric Elves: Immersing an agent organization in a human organization. In Proceedings of the AAAI Fall Symposium on Socially Intelligent Agents: The Human in the Loop (pp. 150-154).

Tambe, M., Pynadath, D. V., & Chauvat, N. (2000). Building Dynamic Agent Organizations in Cyberspace. IEEE Internet Computing, 4(2), 65-73.

Tambe, M., Pynadath, D. V., Chauvat, N., Das, A., & Kaminka, G. A. (2000). Adaptive Agent Integration Architectures for Heterogeneous Team Members. In International Conference on Multiagent Systems (pp. 301-308).

Pynadath, D. V., Tambe, M., Chauvat, N., & Cavedon, L. (1999). Toward Team-Oriented Programming. In ATAL (pp. 77-91).

Tambe, M., Shen, W., Mataric, M., Pynadath, D. V., Goldberg, D., Modi, P. J., Qiu, Z., & Salemi, B. (1999). Teamwork in Cyberspace: Using TEAMCORE to Make Agents Team-Ready. In Proceedings of the AAAI Spring Symposium on Agents in Cyberspace (pp. 136-141).

Pynadath, D. V., Tambe, M., & Chauvat, N. (1999). Rapid Integration and Coordination of Heterogeneous, Distributed Agents for Collaborative Enterprises. In Proceedings of the DARPA-JFACC Symposium on Advances in Enterprise Control (pp. 171-176).

Pynadath, D. V. (1999). Probabilistic Grammars for Plan Recognition.

Pynadath, D. V. & Wellman, M. P. (1998). Generalized Queries on Probabilistic Context-Free Grammars. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1), 65-77.

Pynadath, D. V. & Wellman, M. P. (1996). Generalized Queries on Probabilistic Context-Free Grammars. In National Conference on Artificial Intelligence (pp. 1285-1290).

Wellman, M. P., Liu, C., Pynadath, D., Russell, S., Forbes, J., Huang, T., & Kanazawa, K. (1995). Decision-theoretic reasoning for traffic monitoring and vehicle control. In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 418-423).

Pynadath, D. V. & Wellman, M. P. (1995). Accounting for Context in Plan Recognition, with Application to Traffic Monitoring. In Conference on Uncertainty in Artificial Intelligence (pp. 472-481).

Pynadath, D. V., Tan, H. Z., & Horowitz, D. M. (1993). A Study of the Information Capacity of Human Eye Movement for Augmentative Communication. In Rehabilitation Engineering Society of North America (pp. 96-98).