With political events such as South Korea’s nationwide local elections in June and the U.S. midterm elections in November ...

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 ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

Finance theory continues to develop beyond the traditional academic precincts of rational expectations and efficient markets, with the latest innovations coming from psychology, neuroscience and ...