Resolving social dilemmas with minimal reward transfer.

Area of Science:

• Multi-agent systems
• Game theory
• Behavioral economics

Background:

• Social dilemmas hinder cooperation as individual incentives often conflict with group welfare.
• Self-interested agents may avoid collective actions detrimental to social outcomes.
• Existing solutions often rely on altruism, which is not always practical.

Purpose of the Study:

• To formalize social dilemmas and introduce a quantitative metric, the general self-interest level.
• To propose a novel approach focusing on strategic reward redistribution rather than altruism.
• To develop a method enabling rational agents to pursue self-interest while promoting collective welfare.

Main Methods:

• Formalization of social dilemmas and introduction of the general self-interest level metric.
• Development of an algorithm to compute efficient reward transfer structures for any number of agents.
• Creation of new multi-player social dilemma games to test the proposed method.

Main Results:

• The general self-interest level quantifies the trade-off between individual gain and group rationality.
• Strategic reward redistribution aligns individual incentives with social welfare optimum.
• Demonstrated effectiveness of the reward transfer method in novel game scenarios.

Conclusions:

• The general self-interest level provides a descriptive tool for analyzing social dilemmas.
• Efficient reward transfer contracts offer a prescriptive solution to overcome social dilemmas.
• Applications in mechanism design can assess the impact of environmental modifications on collaborative behavior.