Counterfactual Causality from First Principles?
Logic in Computer Science
2017-10-11 v1 Artificial Intelligence
Abstract
In this position paper we discuss three main shortcomings of existing approaches to counterfactual causality from the computer science perspective, and sketch lines of work to try and overcome these issues: (1) causality definitions should be driven by a set of precisely specified requirements rather than specific examples; (2) causality frameworks should support system dynamics; (3) causality analysis should have a well-understood behavior in presence of abstraction.
Cite
@article{arxiv.1710.03393,
title = {Counterfactual Causality from First Principles?},
author = {Gregor Gössler and Oleg Sokolsky and Jean-Bernard Stefani},
journal= {arXiv preprint arXiv:1710.03393},
year = {2017}
}
Comments
In Proceedings CREST 2017, arXiv:1710.02770