Knowledge rigidities in firms make them stick to existing knowledge and impede the inflow of new external knowledge．This paper explores knowledge transfer behaviors among the cluster firms from a firm’s knowledge rigidity perspective，which helps investigate the factors inducing knowledge lock-in and path dependency in industrial clusters．To conduct a simulation of knowledge transfer behaviors in cluster networks with small-world characteristics，state variables，such as firm’s knowledge rigidity，knowledge absorptive capacity and so on，are defined．Knowledge rigidity impact rule，shortest path rule and knowledge transfer rule are also designed．The simulation data and analysis results show that the firms’knowledge rigidities influence the knowledge transfers in clusters significantly．Controlling cluster firms’knowledge rigidities and building diversified learning and cooperation relationships in different channels can expand the scope of the knowledge transfer and improve its effectiveness．These are effective solutions to ease the knowledge lock-in and path dependence in industry clusters．