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

Area of Science:

• Psychology
• Neuroscience
• Behavioral Economics

Background:

• Prosocial risky behavior (PRB) integrates risk-taking with prosocial intent.
• Existing research on PRB faces limitations in tool applicability and reliability.

Purpose of the Study:

• To elucidate the interaction between emotional and cognitive systems in PRB.
• To propose a dual-system collaborative model for PRB.
• To develop and validate a new research paradigm for PRB in economic decision-making.

Main Methods:

• Literature review and evaluation of PRB definitions, tools, models, and neural mechanisms.
• Development of a novel PRB research paradigm within economic decision-making.
• Cognitive computational modeling of PRB based on the dual-system model.

Main Results:

• Elucidation of synergistic mechanisms between emotional drive and cognitive reasoning in PRB.
• Construction of a dual-system collaborative model for PRB.
• Preliminary verification of the reliability of a cognitive computational modeling concept for PRB.

Conclusions:

• The dual-system collaborative model offers a framework for understanding PRB.
• The new economic decision-making paradigm enhances PRB research reliability and applicability.
• Future cross-cultural studies using neuroscientific methods are recommended to refine the model.