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This research investigates the mathematical foundations of cooperation between self-interested agents in multi-agent path planning, specifically analyzing how stability constraints limit joint strategies to Pure Nash Equilibria. By proving the existence of at least one equilibrium per instance and providing a polynomial-time algorithm for their enumeration, the study offers critical insights into optimizing social welfare within decentralized robotic systems where trust is limited.
Source coveringarXiv

Intermittent Strategic Cooperation of Two Selfish Agents on Graphs

arXiv2 min read

arXiv:2606.17216v1 Announce Type: cross Abstract: We study strategic space- and time-constrained cooperation between two self-interested agents through the Intermittent Strategic Cooperation-Based Two-Agent Path Planning (IC2PP) problem, a shortest-path game on graphs in which agents navigate toward individual targets while optionally cooperating at specific nodes to reduce their own travel times. Although such cooperation can strictly benefit both agents, it is strategically fragile: agents may deviate at any point along their paths. Modeled as a 2-player game, we characterize the structure of Pure Nash Equilibrium (PNE) joint strategies in IC2PP, and show that stable cooperation must follow a highly constrained form. We further prove that at least one PNE exists in every instance of IC2PP, and present a polynomial-time algorithm for enumerating all relevant PNEs. When multiple equilibria arise, we study coordination mechanisms based on bargaining-theoretic selection concepts and empirically compare equilibrium outcomes in terms of individual travel times and social welfare.

Abstract:We study strategic space- and time-constrained cooperation between two self-interested agents through the Intermittent Strategic Cooperation-Based Two-Agent Path Planning (IC2PP) problem, a shortest-path game on graphs in which agents navigate toward individual targets while optionally cooperating at specific nodes to reduce their own travel times. Although such cooperation can strictly benefit both agents, it is strategically fragile: agents may deviate at any point along their paths. Modeled as a 2-player game, we characterize the structure of Pure Nash Equilibrium (PNE) joint strategies in IC2PP, and show that stable cooperation must follow a highly constrained form. We further prove that at least one PNE exists in every instance of IC2PP, and present a polynomial-time algorithm for enumerating all relevant PNEs. When multiple equilibria arise, we study coordination mechanisms based on bargaining-theoretic selection concepts and empirically compare equilibrium outcomes in terms of individual travel times and social welfare.

Multiagent Systems (cs.MA); Computer Science and Game Theory (cs.GT); Robotics (cs.RO)

arXiv:2606.17216 [cs.MA]

(or arXiv:2606.17216v1 [cs.MA] for this version)

https://doi.org/10.48550/arXiv.2606.17216 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 248 words

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