Modeling biological manufacturing systems with bounded-rational agents

This paper presents bounded rationality as a characteristic of agents to develop their behavior in Biological Manufacturing Systems (BMS) that can deal with the complexity of the manufacturing environment using the ideas of self-organization, evolution and learning. Clarifying the definition and description of bounded rationality, the approach is implemented in an Ant System model. The purpose of the model is to handle the uncertainty in the perception, action and inner structure of agents by introducing bounded rationality in their characteristics. Computer simulation demonstrates the effectiveness of the approach by indicating significant improvement in the performance of the modeled BMS.