Superpolynomial growth in the number of attractors in Kauffman networks (conference report)
The Kauffman model describes a particularly simple class of random Boolean networks. Despite the simplicity of the model, it exhibits complex behavior and has been suggested as a model for real world network problems. This work is based on an earlier paper where we introduced a novel approach to analyzing attractors in random Boolean networks. Applying this approach to Kauffman networks, we prove
