AAMAS 2026
On Quantitative Analysis of Responsibility in 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
Context
- Venue
- International Conference on Autonomous Agents and Multiagent Systems
- Archive span
- 2002-2026
- Indexed papers
- 8043
- Paper id
- 463771517711645981