Papers
Topics
Authors
Recent
Search
2000 character limit reached

Role-Selection Game in Block Production under Proposer-Builder Separation

Published 19 Mar 2025 in cs.GT and cs.DC | (2503.15184v2)

Abstract: To address the risks of validator centralization, Proposer-Builder Separation (PBS) was introduced in Ethereum to divide the roles of block building and block proposing, fostering a more equitable and decentralized block production environment. PBS creates a two-sided market in which searchers submit valuable bundles to builders for inclusion in blocks, while builders compete in auctions for block proposals. In this paper, we formulate and analyze a role-selection game that models how profit-seeking participants in PBS strategically choose between acting as searchers or builders, using a co-evolutionary framework to capture the complex interactions and payoff dynamics in this market. Through agent-based simulations, we demonstrate that agents' optimal role-acting as searcher or builder-responds dynamically to the probability of conflict between bundles. Our empirical game-theoretic analysis quantifies the equilibrium frequencies of role selection under different market conditions, revealing that low conflict probabilities lead to equilibria dominated by searchers, while higher probabilities shift equilibrium toward builders. Additionally, bundle conflicts have non-monotonic effects on agent payoffs and strategy evolution. Our results advance the understanding of decentralized block building and provide guidance for designing fairer and more robust block production mechanisms in blockchain systems.

Summary

  • The paper introduces a role-selection game under PBS, demonstrating how agent strategies adapt via genetic algorithms and reinforcement learning.
  • It employs co-evolutionary simulations to analyze trade-offs between block building and bundle sharing amid varying bundle conflict probabilities.
  • The study reveals that increased bundle conflict intensifies competition, posing challenges to decentralization and guiding future blockchain designs.

Role-Selection Game in Block Production under Proposer-Builder Separation

The paper "Role-Selection Game in Block Production under Proposer-Builder Separation" (2503.15184) explores the strategic dynamics within the Proposer-Builder Separation (PBS) framework, a novel mechanism introduced to mitigate the centralization risks faced by validators in the Ethereum network. By segregating the roles of block building and block proposing, PBS creates a two-sided market where agents strategically navigate their roles to optimize payoffs.

Introduction to Proposer-Builder Separation (PBS)

PBS was introduced as a countermeasure against validator centralization in Ethereum by dividing block production tasks into two roles: proposers and builders. In PBS:

  • Searchers submit transaction bundles along with bids to builders, who then optimize these for block inclusion.
  • Builders participate in the block-building auction, aiming to outbid their competitors and propose the block with the highest bid.

The paper models this environment as a complex agent-based system, analyzing the strategic choices of participants through co-evolutionary simulations utilizing genetic algorithms and reinforcement learning principles.

Co-evolutionary Framework in PBS

The authors propose a co-evolutionary framework where agents self-optimize their strategies using genetic algorithms. This approach is facilitated by agent-based simulations, which provide insight into how agents adapt to market conditions and bundle interactions to maximize their payoffs.

Agent Strategy Dynamics

Agents can choose to act as searchers, sharing their profit opportunities, or as builders, competing in block-building auctions. The strategy choice impacts their payoffs significantly, influencing the market dynamics:

  • Bundle Sharing: Agents submit bundles to builders and are rewarded based on rebates offered by builders.
  • Block Building: Builders retain surplus after competing in auctions and refund a portion to searchers. Figure 1

Figure 1

Figure 1

Figure 1

Figure 1

Figure 1

Figure 1: Co-evolution of agent strategies showcasing strategy convergence and strategic diversity as agents optimize their actions.

Impact of Bundle Interactions

The interactions between bundles introduce complexities that affect agent strategies and market outcomes. The presence of bundle conflicts and complementarities substantially impacts agent decisions:

  • Conflict Probability: Introduced as a critical variable, it affects bid ratios and subsequently, the payoff distributions among participants. Figure 2

Figure 2

Figure 2

Figure 2

Figure 2

Figure 2: Impact of conflict probability illustrating changes in bid ratios and rebate decisions under varying conflict probabilities.

Empirical Game-Theoretic Analysis

Using the α\alpha-Rank algorithm, the authors perform an empirical game-theoretic analysis to deduce the dynamic equilibrium of agent strategies. This analysis predicts the frequency of role selection between block building and bundle sharing, essential for understanding strategic adaptation in response to market conditions. Figure 3

Figure 3: Stationary distribution of block building and bundle sharing highlighting critical transition points in strategy adoption.

Discussion and Implications

The study reveals notable insights into the strategic behavior within PBS:

  • Competition vs. Collaboration: Increased bundle conflict probability shifts agent preference from bundle sharing to block building, highlighting the competitive pressures in PBS.
  • Decentralization Challenges: Despite the PBS framework, block builder centralization remains a hurdle, particularly due to exclusive order flow access.

The findings advocate for further research into network science approaches to elucidate the complex bundle interactions and address emerging centralization issues.

Conclusion

This paper contributes significantly to understanding strategic behaviors in PBS systems by employing agent-based models and genetic algorithms to simulate evolutionary strategies. Future explorations could enhance bundling strategies and address centralization barriers, fostering a more decentralized, competitive landscape. The methodologies adopted provide a promising direction for tackling complexities in blockchain economics and validating decentralized finance mechanisms.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Authors (2)

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 1 tweet with 0 likes about this paper.