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Multi-agent coordination via communication partitions

Wei-Chen Lee, Alessandro Abate, Michael Wooldridge

TL;DR

This work tackles equilibrium selection with multiple Nash equilibria by introducing a partitioned pre-play communication mechanism among coalitions in Singleton Congestion Games (SCGs) with identical resources. By leveraging a symmetry-based epistemic framework, coalitions can reach envy-free, credible, Pareto-optimal agreements that, when aggregated across a balanced partition, yield socially optimal and evenly distributed outcomes. The analysis shows that such partition-induced equilibria are $\bar{c}$-optimal and $\hat{c}$-optimal, and extends to settings with differential resource costs under known distributions. This approach provides a scalable design principle for coordinating decentralized, anonymous resource allocations and informs future work on weighted agents and cost-structure variations.

Abstract

Coordinating the behaviour of self-interested agents in the presence of multiple Nash equilibria is a major research challenge for multi-agent systems. Pre-game communication between all the players can aid coordination in cases where the Pareto-optimal payoff is unique, but can lead to deadlocks when there are multiple payoffs on the Pareto frontier. We consider a communication partition, where only players within the same coalition can communicate with each other, and they can establish an agreement (a coordinated joint-action) if it is envy-free, credible, and Pareto-optimal. We show that under a natural assumption about symmetry, certain communication partitions can induce social optimal outcomes in singleton congestion games. This game is a reasonable model for a decentralised, anonymous system where players are required to choose from a range of identical resources, and incur costs that are increasing and convex in the total number of players sharing the same resource. The communication partition can be seen as a mechanism for inducing efficient outcomes in this context.

Multi-agent coordination via communication partitions

TL;DR

This work tackles equilibrium selection with multiple Nash equilibria by introducing a partitioned pre-play communication mechanism among coalitions in Singleton Congestion Games (SCGs) with identical resources. By leveraging a symmetry-based epistemic framework, coalitions can reach envy-free, credible, Pareto-optimal agreements that, when aggregated across a balanced partition, yield socially optimal and evenly distributed outcomes. The analysis shows that such partition-induced equilibria are -optimal and -optimal, and extends to settings with differential resource costs under known distributions. This approach provides a scalable design principle for coordinating decentralized, anonymous resource allocations and informs future work on weighted agents and cost-structure variations.

Abstract

Coordinating the behaviour of self-interested agents in the presence of multiple Nash equilibria is a major research challenge for multi-agent systems. Pre-game communication between all the players can aid coordination in cases where the Pareto-optimal payoff is unique, but can lead to deadlocks when there are multiple payoffs on the Pareto frontier. We consider a communication partition, where only players within the same coalition can communicate with each other, and they can establish an agreement (a coordinated joint-action) if it is envy-free, credible, and Pareto-optimal. We show that under a natural assumption about symmetry, certain communication partitions can induce social optimal outcomes in singleton congestion games. This game is a reasonable model for a decentralised, anonymous system where players are required to choose from a range of identical resources, and incur costs that are increasing and convex in the total number of players sharing the same resource. The communication partition can be seen as a mechanism for inducing efficient outcomes in this context.

Paper Structure

This paper contains 14 sections, 8 theorems, 8 equations, 4 figures.

Key Result

Proposition 4

The expected cost faced by some player in $C$ who chooses some resource $x$, among a total of $v$ players in $C$ choosing the same resource, can be expressed as $g_\mu(v) \coloneqq \sum_{u=0}^{\infty} \mu(u) \cdot f(u + v)$, where $\mu: \mathbb{N} \to [0, 1]$ is the probability distribution on the n

Figures (4)

  • Figure 1: Payoff profiles of well-known games
  • Figure 2: A 3-player coordination game
  • Figure 3: Venn diagram of agreements that are Pareto-optimal (P), covering (Co), credible (Cr), and envy-free (E).
  • Figure 4: Examples of 7-player 3-resource outcomes. Players are represented as coins and resources as columns. A partition is represented by dotted lines and coloured coalitions.

Theorems & Definitions (25)

  • Definition 1: Generalised strategy profile
  • Definition 2: Feasible strategy profile
  • Remark 3
  • Proposition 4
  • proof
  • Remark 5
  • Corollary 6: Coalition as subgame
  • Definition 7
  • Example 8
  • Definition 9: Covering agreements
  • ...and 15 more