@article{ref1,
title="Counterfactuals for causal responsibility in legal contexts",
journal="Artificial intelligence and law",
year="2022",
author="Andreas, Holger and Armgardt, Matthias and Gunther, Mario",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="We define a formal semantics of conditionals based on normatively ideal worlds. Such worlds are described informally by Armgardt (Gabbay D, Magnani L, Park W, Pietarinen A-V (eds) Natural arguments: a tribute to John Woods, College Publications, London, pp 699-708, 2018) to address well-known problems of the counterfactual approach to causation. Drawing on Armgardt's proposal, we use iterated conditionals in order to analyse causal relations in scenarios of multi-agent interaction. This results in a refined counterfactual approach to causal responsibility in legal contexts, which solves overdetermination problems in an intuitively accessible manner.<p /> <p>Language: en</p>",
language="en",
issn="0924-8463",
doi="10.1007/s10506-021-09307-2",
url="http://dx.doi.org/10.1007/s10506-021-09307-2"
}