Bridging the gap between complex scientific research and the curious minds eager to explore it.

Computer Science, Computer Science and Game Theory

Truthful Aggregation of Budget Proposals: A Game-Theoretic Approach

Truthful Aggregation of Budget Proposals: A Game-Theoretic Approach

In this article, we explore the concept of truthful aggregation of budget proposals, which is essential for making informed decisions in various economic contexts. The authors provide a comprehensive framework for understanding the different solution concepts that can be used to address this challenge. They classify these solutions into three broad categories: temporal, global, and local.
Temporal solutions consider the passage of time as an essential factor in decision-making, allowing agents to be represented eventually, consistently, or periodically. Global solutions focus on achieving fairness across different periods, ensuring that each agent receives a proportional share of the total budget. Local solutions prioritize fairness within a specific period, ensuring that each agent is treated justly based on their contributions.
The authors also discuss the limitations of existing approaches and propose new temporal extension of popular fairness notions such as proportionality. They emphasize the importance of considering time as a factor in decision-making to ensure fairness and transparency in various economic contexts.
Overall, this article provides a valuable resource for anyone seeking to understand the complex concepts of truthful aggregation of budget proposals and its applications in economics. By using simple language and engaging analogies, the authors demystify these concepts and provide a comprehensive framework for understanding their significance in various economic contexts.