How utility-based agents are changing AI behaviour
Utility-based agents assign a "score" or value to different outcomes and choose actions that maximise that value. Instead of rigid “if-then” rules, they operate more like rational decision-makers. This enables systems that balance risk, reward, and resource use—and make smarter tradeoffs.