Localization Using Discrete Event Simulation. - Baybora Aksoy; Volkan Ustun; Jeffrey S. Smith (WSC, 2004)

A conceptual architecture for static features in physical security simulation. - Volkan Ustun; Haluk Yapicioglu; Skylab R. Gupta; Abishek Ramesh; Jeffrey S. Smith (WSC, 2005)

A conceptual model for agent-based simulation of physical security systems. - Volkan Ustun; Levent Yilmaz 001; Jeffrey S. Smith (ACM Southeast Regional Conference, 2006)

Mental simulation for creating realistic behavior in physical security systems simulation. - Volkan Ustun; Jeffrey S. Smith (WSC, 2008)

A Simple Example of SysML-driven Simulation. - Leon F. McGinnis; Volkan Ustun (WSC, 2009)

Ontologies and simulation: a practical approach. - Leon F. McGinnis; Edward Huang; Ky Sang Kwon; Volkan Ustun (J. Simulation, 2011)

Distributed Vector Representations of Words in the Sigma Cognitive Architecture. - Volkan Ustun; Paul S. Rosenbloom; Kenji Sagae; Abram Demski (AGI, 2014)

Towards Emotion in Sigma: From Appraisal to Attention. - Paul S. Rosenbloom; Jonathan Gratch; Volkan Ustun (AGI, 2015)

Hierarchical Reasoning with Distributed Vector Representations. - Cody Kommers; Volkan Ustun; Abram Demski; Paul S. Rosenbloom (CogSci, 2015)

Towards Adaptive, Interactive Virtual Humans in Sigma. - Volkan Ustun; Paul S. Rosenbloom (IVA, 2015)

Combining Distributed Vector Representations for Words. - Justin Garten; Kenji Sagae; Volkan Ustun; Morteza Dehghani (VS@HLT-NAACL, 2015)

Building high fidelity human behavior models in the Sigma cognitive architecture. - Volkan Ustun; Paul S. Rosenbloom; Julia Kim; Lingshan Li (WSC, 2015)

Rethinking Sigma's Graphical Architecture: An Extension to Neural Networks. - Paul S. Rosenbloom; Abram Demski; Volkan Ustun (AGI, 2016)

The Sigma Cognitive Architecture and System: Towards Functionally Elegant Grand Unification. - Paul S. Rosenbloom; Abram Demski; Volkan Ustun (J. Artif. Gen. Intell., 2016)

PySigma: Towards Enhanced Grand Unification for the Sigma Cognitive Architecture. - Jincheng Zhou; Volkan Ustun (AGI, 2021)

Operationalizing Theories of Theory of Mind: A Survey. - Nikolos Gurney; Stacy Marsella; Volkan Ustun; David V. Pynadath (ToM for Teams, 2021)

Route Optimization in Service of a Search and Rescue Artificial Social Intelligence Agent. - Yunzhe Wang; Nikolos Gurney; Jincheng Zhou; David V. Pynadath; Volkan Ustun (ToM for Teams, 2021)

Graph Neural Network Based Behavior Prediction to Support Multi-Agent Reinforcement Learning in Military Training Simulations. - Lixing Liu; Nikolos Gurney; Kyle McCullough; Volkan Ustun (WSC, 2021)

Adaptive Synthetic Characters for Military Training. - Volkan Ustun; Rajay Kumar; Adam Reilly; Seyed Sajjadi; Andrew Miller (CoRR, 2021)

Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma. - Volkan Ustun; Paul S. Rosenbloom; Seyed Sajjadi; Jeremy Nuttal (CoRR, 2021)

Demonstrating the Rapid Integration & Development Environment (RIDE): Embodied Conversational Agent (ECA) and Multiagent Capabilities. - Arno Hartholt; Ed Fast; Andrew Leeds; Kevin Kim; Andrew Gordon; Kyle McCullough; Volkan Ustun; Sharon Mozgai (AAMAS, 2022)

Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning. - Timothy Aris; Volkan Ustun; Rajay Kumar (FLAIRS, 2022)

Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task. - David V. Pynadath; Nikolos Gurney; Sarah Kenny; Rajay Kumar; Stacy C. Marsella; Haley Matuszak; Hala Mostafa; Pedro Sequeira; Volkan Ustun; Peggy Wu (AAMAS, 2023)

Learning to Take Cover with Navigation-Based Waypoints via Reinforcement Learning. - Timothy Aris; Volkan Ustun; Rajay Kumar (FLAIRS, 2023)

Leveraging Graph Networks to Model Environments in Reinforcement Learning. - Viswanath Chadalapaka; Volkan Ustun; Lixing Liu (FLAIRS, 2023)

Improving Teamwork through a Decision-Theoretic Coach in a Minecraft Search-and-Rescue Game. - David V. Pynadath; Nikolas Gurney; Sarah Kenny; Rajay Kumar; Stacy Marsella; Haley Matuszak; Hala Mostafa; Pedro Sequeira; Volkan Ustun; Peggy Wu (ICCE, 2023)

Training Reinforcement Learning Agents to React to an Ambush for Military Simulations. - Timothy Aris; Volkan Ustun; Rajay Kumar (FLAIRS, 2024)

Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization. - Caleb Koresh; Volkan Ustun; Rajay Kumar; Timothy Aris (FLAIRS, 2024)

Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning. - Lixing Liu; Volkan Ustun; Rajay Kumar (FLAIRS, 2024)

Spontaneous Theory of Mind for Artificial Intelligence. - Nikolos Gurney; David V. Pynadath; Volkan Ustun (HCI (1), 2024)

Assessing Routing Decisions of Search and Rescue Teams in Service of an Artificial Social Intelligence Agent. - Volkan Ustun; Ronit Jorvekar; Nikolos Gurney; David V. Pynadath; Yunzhe Wang (ICAART (1), 2024)

Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning. - Volkan Ustun; Soham Hans; Rajay Kumar; Yunzhe Wang (CoRR, 2025)

Detecting AI Assistance in Abstract Complex Tasks. - Tyler King; Nikolos Gurney; John H. Miller; Volkan Ustun (CoRR, 2025)