Towards a Human-in-the-Loop System for Authoring Game AI using Behavior Languages
Erica Kleinman1, Spencer Lynn2, Bryan Loyall2, Magy Seif El-Nasr3 In Proceedings of the 18th International Conference on the Foundations of Digital Games. Lisbon, Portugal (April 2023) As games get more complicated, Artificially Intelligent (AI) agents need to be better developed to understand and replicate complex, goal-oriented, reactive behaviors. Many existing behavior language approaches do not […]
Excretory/Secretory Proteome of Females and Males of the Hookworm Ancylostoma ceylanicum
Pathogens, 06 January 2023 doi.org: 10.3390/pathogens12010095 Samuel C. Uzoechi1, Bruce A. Rosa1, Kumar Sachin Singh1, Young-Jun Choi1, Bethany K. Bracken2, Paul J. Brindley3 , R. Reid Townsend4, Robert Sprung4, Bin Zhan5, Maria-Elena Bottazzi5, John M. Hawdon3, Yide Wong6, Alex Loukas6, Sergej Djuranovic7 and Makedonka Mitreva1* Intricate molecular communication between schistosome flatworms and their mammalian host, […]
Cyber Reactive Adversary Framework for Training
Sean Guarino1, William Norsworthy1, David Kelle1, John Steigerwald1, Timothy Ho1, Dorsey Wilkin2 Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, Florida (29 November 2023) Networks have become a critical background for military operations as adversaries and hackers become increasingly prolific and proficient at cyber warfare. Despite this, cyber training has remained focused on large-scale exercise […]
Immersive Space Operations Training in Extended Reality
Daniel Stouch, Sean Guarino, Dan Duggan, Susan Latiff, Robert Hyland, Kimberly Brady Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, Florida (29 November 2023) The training of next-generation space operators for both commercial and military capabilities relies largely on analog physical models and PowerPoint lectures. Consequently, new operators do not often fully grasp the fundamentals […]
AI Inference of Team Effectiveness for Training and Operations
Robert Hyland, Kenneth R. Lu, Spencer Lynn, Ph.D, Stephen J. Marotta, James Niehaus, Ph.D., William Norsworthy Jr., Avi Pfeffer, Ph.D., Curtis Q. Wu, Bryan Loyall, Ph.D. Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, Florida (29 November 2023) How can we build artificial intelligence (AI) that robustly recognizes how well a team is doing from […]
Augmented Reality Technology to Facilitate Proficiency in Emergency Medical Procedures
Laurel O’Connor1, Sepahrad Zamani1, Liam Porter2, Nicolette McGeorge3, Susan Latiff3, Timothy Boardman1, Matthew Loconte1, Michael Weiner1, Eileen McGarry1, Felipe Pina1, Jorge Acevedo Hermaan1, Andrew Milsten1, Martin Reznek1, John Broach1 In Proceedings of the 56th Hawaii International Conference on System Sciences. Hawaii. (January 2023) Background: Augmented reality (AR) conveys an experience during which the user’s real-time […]
Assessing Situation Awareness (SA) Using Single- or Dual-Location Functional Near Infrared Spectroscopy (fNIRS)
Bethany K. Bracken1, Aaron Winder1, Brandon Hager1, Mica R. Endsley2, and Elena K. Festa3 Presented at BIOSTEC 2023. 16th International Joint Conference on Biomedical Engineering Systems and Technologies (February 2023) To operate effectively across a variety of environments, personnel (e.g., air traffic controllers, pilots, truck drivers, emergency response crews) need to be trained to the […]
Democratizing AI for Condition-Based Maintenance using Probabilistic Programming
Kenneth Lu1, Sanja Cvijic1, David Dewhurst1, Joe Gorman1, Rob Hyland1, James Templin2 Proceedings of The 69th Annual Reliability & Maintainability Symposium (RAMS®) (January 2023) Advances in AI/ML have demonstrated enormous potential in improving and optimizing condition-based maintenance processes; however, AI/ML solutions themselves inevitably become a maintenance liability, wherein the end users must repeatedly work with […]
Need for AI in Transformer Diagnostics and Prognostics
Sanja Cvijic1, Nidhi Gupta1, Scott Lux2 Proceedings of The 69th Annual Reliability & Maintainability Symposium (RAMS®) (January 2023) Power equipment, such as electrical transformers, undergo performance degradation over time that can prevent them from functioning properly in critical situations or even cause catastrophic failures. Improved diagnostic and prognostic approaches that more accurately determine the reliability […]
