This study studies a model of an n-dimensional intelligent swarm that consists of a group of mobile autonomous agents with an attraction-repulsion function governing the interaction of the agents. A distributed flocking motion control for the n-dimensional (n ≥ 2) intelligent swarm based on local information is proposed. The stability of intelligent swarm is studied with Lyapunov stability theory. Simulations showed that the swarm system can converge to goal regions while maintaining cohesiveness.