Modeling human operator decision-making in manufacturing systems using BDI agent paradigm

Human operators are imperative to the functioning and success of a manufacturing system. Yet there is a noticeable lack of research in modeling of human operators, especially decision-making aspects. In this paper, the complex task of modeling of human operator decision-making in a manufacturing system is addressed using Belief-Desire-Intention (BDI) agent paradigm. The roles, responsibilities and services of the operator are mapped on to mental models of beliefs, desires and intentions. The dynamic evolution of the mental models is also highlighted. The functioning of the human operator model is illustrated by integrating the model with a shop floor control system.