Aggregating Causal Judgments

Philosophy of Science 81 (4):491-515 (2014)

Authors
Christian List
London School of Economics
Richard Bradley
London School of Economics
Franz Dietrich
Centre National de la Recherche Scientifique
Abstract
Decision-making typically requires judgments about causal relations: we need to know the causal effects of our actions and the causal relevance of various environmental factors. We investigate how several individuals' causal judgments can be aggregated into collective causal judgments. First, we consider the aggregation of causal judgments via the aggregation of probabilistic judgments, and identify the limitations of this approach. We then explore the possibility of aggregating causal judgments independently of probabilistic ones. Formally, we introduce the problem of causal-network aggregation. Finally, we revisit the aggregation of probabilistic judgments when this is constrained by prior aggregation of qualitative causal judgments.
Keywords Judgment aggregation  Causation  Causal judgments  Expert testimony  Bayesian networks  Probabilistic opinion pooling
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Reprint years 2014
DOI 10.1086/678044
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References found in this work BETA

Democracy and Disagreement.Amy Gutmann & Dennis Thompson - 1998 - Ethics 108 (3):607-610.

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Citations of this work BETA

Probabilistic Opinion Pooling.Franz Dietrich & Christian List - 2016 - In A. Hajek & C. Hitchcock (eds.), Oxford Handbook of Philosophy and Probability. Oxford: Oxford University Press.
Judgment Aggregation: A Survey.Christian List & Clemens Puppe - 2009 - In Christian List & Clemens Puppe (eds.), Handbook of Rational and Social Choice. Oxford University Press.
Aggregating Infinitely Many Probability Measures.Frederik Herzberg - 2015 - Theory and Decision 78 (2):319-337.

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