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September 20, 20250 citations

Synthesising Minimum Cost Dynamic Norms

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NANatasha AlechinaBLBrian LoganGPGiuseppe Perelli

Key Points

  • Synthesizing dynamic norms with cost constraints yields similar complexity to arbitrary norm synthesis.
  • The average cost minimization of prohibited actions is unsolvable, highlighting challenges in optimal norm synthesis.
  • A system-level objective is articulated using Alternating Time Temporal Logic, advancing the design of multi-agent systems.
  • The study identifies conditions under which ε-optimal norms can be synthesized while managing cost constraints.

Abstract

A key problem in the design of normative multi-agent systems is the cost of enforcing a norm (for the system operator) or complying with the norm (for the system users). If the cost is too high, ensuring compliant behavior may be uneconomic, or users may be deterred from participating in the MAS. In this paper, we consider the problem of synthesizing minimum cost dynamic norms to satisfy a system-level objective specified in Alternating Time Temporal Logic with Strategy Contexts (ATLsc∗). We show that synthesizing a dynamic norm under a bound on the cost of any prohibited set of actions has the same complexity as synthesizing arbitrary norms. We also show that synthesizing norms that minimize the average cost of the prohibited set of actions is unsolvable; however, synthesizing ε-optimal norms is possible.

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Cite This Study

Alechina et al. (2025) studied this question.

synapsesocial.com/papers/68d46aa631b076d99fa67350https://doi.org/10.24963/ijcai.2025/1
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