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Counterfactual Causality from First Principles?
Published 10 Oct 2017 in cs.LO and cs.AI | (1710.03393v1)
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.
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