dailyai.report

A new framework proposes treating intelligent agents as webs of beliefs to unify goals and actions. The model argues that agent beliefs maintain local consistency rather than global coherence. This approach draws from active inference and machine learning. It provides a theoretical lens for understanding how agents handle contradictory information.