CONCEPTUAL BLIND SPOTS IN COMPLEX SYSTEM ENGINEERING PROJECTS – A COMPUTATIONAL MODEL
This paper presents an approach to studying how conceptual blind spots emerge in complex system engineering projects--i.e. when the value systems and conceptual schemas of collaborating teams are incongruous and not seen. It uses methods derived from computational social science founded on agent-based modeling using social agents. The paper describes the agents and their capabilities, and also a NetLogo implementation of an abstracted version of a space launch system. Agents choose how much to invest in discovering unknown dependencies. Results are portrayed in a Design dependency matrix.