In recent decades, there has been an increase in theoretical attention to collaborative governance as a deliberative decision-making process among stakeholders. Meanwhile, relatively less attention has been paid by scholars to behavioral and procedural aspects of the decision-making process in collaborative governance. The following study was based on group information-processing and decision-making literature in social psychology to develop a decision-making model of collaborative governance. This model conceptualizes collaborative governance as a collective, egalitarian, deliberate, and consensus-oriented decision-making process. Further, this model considers different types of human motivation and biases in information-processing and group decision-making. This researcher employed an agent-based modeling method to design a computational model of the deliberation process in the context of collaborative governance to identify relationships among actors' social and epistemic motivations; managerial interventions including agenda setting, speaking turn, and forum size; and performance of collaborative governance such as success in reaching consensus, responsiveness of the decision, and mutual learning. The results of the simulation are discussed via nineteen propositions regarding the effects of motivated information-processing behaviors, responsiveness to the public and specific stakeholder groups, authentic dialogue, and managerial intervention. This study concludes by discussing the prospect of an information-processing perspective on collaborative governance.