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 ...

"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." ...

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 ...

Advancements in Immersive Technologies and XR Integration This year’s Winter Simulation Conference really highlighted how far ...