In this work, an immune-based multilayer cognitive model for autonomous navigation is proposed. Each layer is modeled by a bioinspired technique, namely, neural networks and artificial immune systems. In this research, a new immune based algorithm is proposed, which is a combination of an algorithm based on immune network theory and a reinforcement learning technique. The proposed approach was tested on several environments and it exhibited interesting learning capabilities in solving an autonomous navigation problem.