Dr Peter Matthews: Modelling the Engineering Design Decision Process
Models of the engineering design process assume that the human designer is a rule-based agent and primarily focus on how they access and use technical knowledge for design. They are not able to represent the subjectivity bought to the design process by human agents. This subjectivity is particularly important during the earlier, conceptual, stages of the design process. Agenda-setting research in this field is investigating the potential of stochastic approaches for agent-based models to address this challenge.
However, these approaches are still experimental and little work has been done to learn how other disciplines have approached similar problems. By investigating alternative disciplinary approaches to agent-based and stochastic decision modelling, this research will seek to provide a more robust foundation for modelling human behaviour within engineering design.
Contact firstname.lastname@example.org for more information about this event.