A self-contained karma economy for the dynamic allocation of common resources
| Autor: | Ezzat Elokda, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli |
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| Rok vydání: | 2022 |
| Předmět: |
Statistics and Probability
FOS: Computer and information sciences Economics and Econometrics Karma mechanisms Applied Mathematics Dynamic resource allocation Artificial currency mechanisms Dynamic population games Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control Computer Graphics and Computer-Aided Design Computer Science Applications FOS: Economics and business Computational Mathematics Computational Theory and Mathematics Computer Science - Computer Science and Game Theory Optimization and Control (math.OC) Economics - Theoretical Economics FOS: Electrical engineering electronic engineering information engineering FOS: Mathematics Theoretical Economics (econ.TH) Mathematics - Optimization and Control Computer Science and Game Theory (cs.GT) |
| Zdroj: | Dynamic Games and Applications |
| ISSN: | 2153-0785 2153-0793 |
| DOI: | 10.48550/arxiv.2207.00495 |
| Popis: | This paper presents karma mechanisms, a novel approach to the repeated allocation of a scarce resource among competing agents over an infinite time. Examples include deciding which ride hailing trip requests to serve during peak demand, granting the right of way in intersections or lane mergers, or admitting internet content to a regulated fast channel. We study a simplified yet insightful formulation of these problems where at every instant two agents from a large population get randomly matched to compete over the resource. The intuitive interpretation of a karma mechanism is "If I give in now, I will be rewarded in the future." Agents compete in an auction-like setting where they bid units of karma, which circulates directly among them and is self-contained in the system. We demonstrate that this allows a society of self-interested agents to achieve high levels of efficiency without resorting to a (possibly problematic) monetary pricing of the resource. We model karma mechanisms as dynamic population games and guarantee the existence of a stationary Nash equilibrium. We then analyze the performance at the stationary Nash equilibrium numerically. For the case of homogeneous agents, we compare different mechanism design choices, showing that it is possible to achieve an efficient and ex-post fair allocation when the agents are future aware. Finally, we test the robustness against agent heterogeneity and propose remedies to some of the observed phenomena via karma redistribution. Dynamic Games and Applications ISSN:2153-0785 ISSN:2153-0793 |
| Databáze: | OpenAIRE |
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