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AAMAS 2026

On Quantitative Analysis of Responsibility in Multiagent Systems

Conference Paper Extended Abstracts Autonomous Agents and Multiagent Systems

Abstract

The analysis of responsibility in multi-agent systems is typically binarywithanagenteitherbeing, ornotbeingresponsibleforsome outcome. In this paper we describe a framework built on a variant of probabilistic alternating-time temporal logic through which we can capture different types of causal responsibility, and provide different measures for the amount of causal responsibility one can ascribe on an agent.

Authors

Keywords

  • MASs
  • Responsibility Measurement
  • Formal Verification

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
463771517711645981
v2026.09.13