How Intelligence Emerges: A Minimal Theory of Dynamic Adaptive Coordination

ArXi:2603.11560v1 Announce Type: cross This paper develops a dynamical theory of adaptive coordination in multi-agent systems. Rather than analyzing coordination through equilibrium optimization or agent-centric learning alone, the framework models agents, incentives, and environment as a recursively closed feedback architecture. A persistent environment s accumulated coordination signals, a distributed incentive field transmits those signals locally, and adaptive agents update in response.