The Impact of Individual and Team Goals on Human Distributed Dynamic Decisionmaking: A Mathematical Model

Humans' involvement in many systems brings various humans' cognitive limitations and biases to systems affecting systems' performance. Salient among these characteristics are humans' different goals. Based on an empirical research, this paper presents a mathematical model for studying the impact of individual and team goals on human distributed decisionmaking within a generic task sequencing environment. By combining optimization concepts with relevant descriptive factors on humans' cognitive limitations, the problem is formulated as a dynamic Nash game for the case with individual goals, and a decision tree for the case with the team goal. Preliminary model-data comparison suggests that individual goals induce the DMs to overvalue their own tasks and deviate from model strategies. A team goal facilitates DMs' coordination and yield better overall performance.