# Anticipating Responsibility in Multiagent Planning

arXiv: https://arxiv.org/abs/2307.16685 · HTML: https://mlsanity.com/paper/2307.16685/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 7 of its 27 references that are in the map.
- First posted on arXiv 31 Jul 2023.

## Builds on (most cited first, 7 of 7)

- [A Modification of the Halpern-Pearl Definition of Causality](https://mlsanity.com/paper/1505.00162/) (2015)
- [Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility](https://mlsanity.com/paper/1810.05903/) (2018)
- [A Game-Theoretic Account of Responsibility Allocation](https://mlsanity.com/paper/2105.09129/) (2021)
- [Blameworthiness in Strategic Games](https://mlsanity.com/paper/1809.05485/) (2018)
- [Causality, Responsibility and Blame in Team Plans](https://mlsanity.com/paper/2005.10297/) (2020)
- [Rethinking Epistemic Logic with Belief Bases](https://mlsanity.com/paper/1812.07079/) (2018)
- [An approach to multi-agent planning with incomplete information](https://mlsanity.com/paper/1501.07256/) (2015)

## Built on by (most cited first, 4 of 4)

- [Counterfactual Reasoning for Causal Responsibility Attribution in Probabilistic Multi-Agent Systems](https://mlsanity.com/paper/2605.13077/) (2026)
- [Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems](https://mlsanity.com/paper/2411.00146/) (2024)
- [Measuring Responsibility in Multi-Agent Systems](https://mlsanity.com/paper/2411.00887/) (2024)
- [Responsibility in a Multi-Value Strategic Setting](https://mlsanity.com/paper/2410.17229/) (2024)

## Abstract (arXiv)

Responsibility anticipation is the process of determining if the actions of an individual agent may cause it to be responsible for a particular outcome. This can be used in a multi-agent planning setting to allow agents to anticipate responsibility in the plans they consider. The planning setting in this paper includes partial information regarding the initial state and considers formulas in linear temporal logic as positive or negative outcomes to be attained or avoided. We firstly define attribution for notions of active, passive and contributive responsibility, and consider their agentive variants. We then use these to define the notion of responsibility anticipation. We prove that our notions of anticipated responsibility can be used to coordinate agents in a planning setting and give complexity results for our model, discussing equivalence with classical planning. We also present an outline for solving some of our attribution and anticipation problems using PDDL solvers.