3 citations · 10 across the 13 of their papers we have counts for
6 papers · 1 filter
Towards AI-Assisted Generation of Military Training Scenarios
Soham Hans, Volkan Ustun, Benjamin Nye +2
Achieving expert-level performance in simulation-based training relies on the creation of complex, adaptable scenarios, a traditionally laborious and resource intensive process. Al…
A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research
Yunzhe Wang, Volkan Ustun, Chris McGroarty
Modern simulation environments for complex multi-agent interactions must balance high-fidelity detail with computational efficiency. We present DECOY, a novel multi-agent simulator…
Detecting AI Assistance in Abstract Complex Tasks
Tyler King, Nikolos Gurney, John H. Miller +1
Detecting assistance from artificial intelligence is increasingly important as they become ubiquitous across complex tasks such as text generation, medical diagnosis, and autonomou…
Spontaneous Theory of Mind for Artificial Intelligence
Nikolos Gurney, David V. Pynadath, Volkan Ustun
Existing approaches to Theory of Mind (ToM) in Artificial Intelligence (AI) overemphasize prompted, or cue-based, ToM, which may limit our collective ability to develop Artificial…
Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma
Volkan Ustun, Paul S. Rosenbloom, Seyed Sajjadi +1
Simulations, along with other similar applications like virtual worlds and video games, require computational models of intelligence that generate realistic and credible behavior f…
Adaptive Synthetic Characters for Military Training
Volkan Ustun, Rajay Kumar, Adam Reilly +2
Behaviors of the synthetic characters in current military simulations are limited since they are generally generated by rule-based and reactive computational models with minimal in…