Reinforcement learning (RL) has recently emerged as a core methodology for modelling and analysing complex adaptive systems. Ensuring that learning agents behave safely, robustly, and transparently is ...

Agent-based simulations (ABS) are powerful computational tools that help scientists understand complex biological systems. These simulations are an inexpensive and efficient way to quickly test ...

"The promise of human behavioral simulation—general-purpose computational agents that replicate human behavior across domains—could enable broad applications in policymaking and social science." ...

In Chapter 2, the committee identified three overarching themes that must be reflected in DoD’s future development of MS&A: networking, adaptability, and embedded systems. These themes lead the ...

One way to build these skills is to move from theory-based education to simulation-based education, though this can require an organizational shift in how knowledge is transferred. As AI systems ...