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.