A Game-Theoretic Account of Responsibility Allocation
A Game-Theoretic Account of Responsibility Allocation
Christel Baier, Florian Funke, Rupak Majumdar
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Main Track. Pages 1773-1779.
https://doi.org/10.24963/ijcai.2021/244
When designing or analyzing multi-agent systems, a fundamental problem is responsibility ascription: to specify which agents are responsible for the joint outcome of their behaviors and to which extent. We model strategic multi-agent interaction as an extensive form game of imperfect information and define notions of forward (prospective) and backward (retrospective) responsibility. Forward responsibility identifies the responsibility of a group of agents for an outcome along all possible plays, whereas backward responsibility identifies the responsibility along a given play. We further distinguish between strategic and causal backward responsibility, where the former captures the epistemic knowledge of players along a play, while the latter formalizes which players – possibly unknowingly – caused the outcome. A formal connection between forward and backward notions is established in the case of perfect recall. We further ascribe quantitative responsibility through cooperative game theory. We show through a number of examples that our approach encompasses several prior formal accounts of responsibility attribution.
Keywords:
Knowledge Representation and Reasoning: Action, Change and Causality
Agent-based and Multi-agent Systems: Multi-agent Planning
Agent-based and Multi-agent Systems: Noncooperative Games