Abstract: Methods and systems consistent with the invention provide a robot network that can optimally reconfigure the control logic on-board each robot of the network on a real-time basis. Each robot of the network performs an assigned task according to a control logic. While performing the assigned task, each robot transmits performance data defining a fitness level of the robot for achieving the assigned task. A set of the plurality of robots is then selected based on the performance data transmitted by each robot, and the control logic of the selected set of robots is then sent to the other robots in the network. The robots that receive the control logic then optimize their control logic by producing a new control logic based on the received control logic.