Dual-System Collaborative Model of Prosocial Risky Behavior and Cognitive Computation: A Review.

Prosocial risky behavior (PRB) refers to actions taken at personal risk for the benefit of others or societal welfare, combining risk-taking with prosocial intent, and involving the integrated processing of individual risk and social preferences. Building upon the review and evaluation of the definitions of PRB, existing research tools, theoretical models, and neural mechanisms, this paper elucidates the synergistic interaction and mechanisms of the emotional drive and cognitive reasoning systems in PRB. It constructs a dual-system collaborative model for PRB. Furthermore, to address the shortcomings of existing PRB research tools, such as limited cross-domain applicability and low reliability, this paper designs a PRB research paradigm within the economic decision-making domain. Combined with the dual-system collaborative model of PRB, this paper proposes a cognitive computational modeling concept for PRB and preliminarily verifies its reliability. Future research should conduct cross-cultural studies, utilizing cognitive neuroscientific technologies, to explore the cultural differences in the mechanisms underlying PRB, thereby enhancing the cross-cultural interpretive power of the constructed dual-system collaborative model of PRB. This broadens the theoretical explanatory pathways and research dimensions of PRB.