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Aggregating Causal Judgments

Bradley, Richard and Dietrich, Franz and List, Christian (2014) Aggregating Causal Judgments. Philosophy of Science, 81 (4). pp. 491-515.

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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.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Bradley, Richard
Dietrich, Franz
List, Christian
Keywords: Judgment aggregation, causality, causation, Bayesian networks, graph aggregation, probabilistic opinion pooling, Markov conditions, decision making
Subjects: General Issues > Causation
General Issues > Decision Theory
Specific Sciences > Probability/Statistics
Depositing User: Christian List
Date Deposited: 02 Aug 2016 17:36
Last Modified: 06 Aug 2016 21:06
Item ID: 11364
Journal or Publication Title: Philosophy of Science
Official URL: http://www.jstor.org/stable/10.1086/678044
DOI or Unique Handle: 10.1086/678044
Subjects: General Issues > Causation
General Issues > Decision Theory
Specific Sciences > Probability/Statistics
Date: October 2014
Page Range: pp. 491-515
Volume: 81
Number: 4
URI: http://philsci-archive.pitt.edu/id/eprint/11364

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