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
peer reviewedJudgment aggregation investigates the problem of how to aggregate several individuals’ ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2006....
Contingency information is information about empirical associations between possible causes and outc...
Decision making typically requires judgments about causal relations: we need to know the causal effe...
Decision making typically requires judgments about causal relations: we need to know both the causal...
Decision making typically requires judgements about causal relations. We need to know both the causa...
Consider a policymaker who wants to decide which intervention to perform in order to change a curren...
This paper argues that standard theories of judgment aggregation cannot apply to scientific practice...
gmail.com Causal inference is a fundamental component of cognition and perception. Probabilistic the...
Consider a policymaker who wants to decide which intervention to perform in order to change a curren...
This introduces the symposium on judgment aggregation. The theory of judgment aggregation asks how s...
People’s causal judgments exhibit substantial variability, but the processes that lead to this varia...
In recent years, judgement aggregation has emerged as an important area of social choice theory. Jud...
This introduces the symposium on judgment aggregation. The theory of judgment aggregation asks how s...
I propose a relevance-based independence axiom on how to aggregate individual yes/no judgments on gi...
peer reviewedJudgment aggregation investigates the problem of how to aggregate several individuals’ ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2006....
Contingency information is information about empirical associations between possible causes and outc...
Decision making typically requires judgments about causal relations: we need to know the causal effe...
Decision making typically requires judgments about causal relations: we need to know both the causal...
Decision making typically requires judgements about causal relations. We need to know both the causa...
Consider a policymaker who wants to decide which intervention to perform in order to change a curren...
This paper argues that standard theories of judgment aggregation cannot apply to scientific practice...
gmail.com Causal inference is a fundamental component of cognition and perception. Probabilistic the...
Consider a policymaker who wants to decide which intervention to perform in order to change a curren...
This introduces the symposium on judgment aggregation. The theory of judgment aggregation asks how s...
People’s causal judgments exhibit substantial variability, but the processes that lead to this varia...
In recent years, judgement aggregation has emerged as an important area of social choice theory. Jud...
This introduces the symposium on judgment aggregation. The theory of judgment aggregation asks how s...
I propose a relevance-based independence axiom on how to aggregate individual yes/no judgments on gi...
peer reviewedJudgment aggregation investigates the problem of how to aggregate several individuals’ ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2006....
Contingency information is information about empirical associations between possible causes and outc...