Incentive Engineering for Concurrent Games
David Hyland (University of Oxford), Julian Gutierrez (Monash, University), Michael Wooldridge (University of Oxford)

TL;DR
This paper explores how an external authority can design taxation schemes in concurrent multi-agent games to incentivize agents to achieve their goals, analyzing static and dynamic taxes and their computational complexity.
Contribution
It introduces a novel model of incentive design in concurrent games using taxation schemes and studies their game-theoretic properties and computational complexity.
Findings
Static and dynamic taxation schemes can influence agents' strategies.
Deciding the existence of effective taxation schemes is computationally complex.
The model provides insights into incentivizing goal satisfaction in multi-agent systems.
Abstract
We consider the problem of incentivising desirable behaviours in multi-agent systems by way of taxation schemes. Our study employs the concurrent games model: in this model, each agent is primarily motivated to seek the satisfaction of a goal, expressed as a Linear Temporal Logic (LTL) formula; secondarily, agents seek to minimise costs, where costs are imposed based on the actions taken by agents in different states of the game. In this setting, we consider an external principal who can influence agents' preferences by imposing taxes (additional costs) on the actions chosen by agents in different states. The principal imposes taxation schemes to motivate agents to choose a course of action that will lead to the satisfaction of their goal, also expressed as an LTL formula. However, taxation schemes are limited in their ability to influence agents' preferences: an agent will always…
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