Dynamic reconfiguration has been listed as one of the key challenges in support of agent adaptation to environments, which has attracted much attention of researchers world wide. To tackle this tough problem, an Agent-Based Dynamic Reconfiguration Model (ADRM) is proposed from the autonomy-oriented computing (AOC) point of view. The ERA (Environment--Reactive rules--Agents) algorithm used in AOC is improved to support the organization formation behavior, which is essential in dynamic reconfiguration. To test the efficiency of this model and the effectiveness of different reactive behaviors, the performance of this model was investigated under different selection probabilities.