Mathematical foundations of moral preferences.

Area of Science:

• Behavioral Economics
• Moral Psychology

Background:

• Traditional economic models explain unselfishness via social preferences, assuming concern for others' monetary outcomes.
• Recent research indicates personal norms (internal moral standards) better explain diverse unselfish behaviors like cooperation and altruism.

Purpose of the Study:

• To review experimental and theoretical research on the moral preference hypothesis.
• To outline mathematical foundations for moral preferences.
• To explore applications in policy and artificial intelligence.

Main Methods:

• Review of experimental and theoretical literature on moral preferences.
• Synthesis of findings on unselfish behaviors and norm adherence.
• Development of mathematical frameworks for moral decision-making.

Main Results:

• Personal norms provide a more comprehensive explanation for various unselfish actions than social preferences.
• Interventions highlighting moral salience can increase prosocial behaviors, such as charitable donations.
• Mathematical foundations for moral preferences are proposed.

Conclusions:

• Moral preferences, driven by internal norms, are a key driver of unselfish human behavior.
• Formalizing moral preferences offers insights for policy and AI development.
• This research advances understanding of human morality and decision-making.