期刊
COGNITIVE SCIENCE
卷 37, 期 6, 页码 977-985出版社
WILEY
DOI: 10.1111/cogs.12065
关键词
Causal reasoning; Counterfactuals; Structural models
资金
- Direct For Computer & Info Scie & Enginr [1249822, 1302448] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems [1302448, 1249822] Funding Source: National Science Foundation
Recent advances in causal reasoning have given rise to a computational model that emulates the process by which humans generate, evaluate, and distinguish counterfactual sentences. Contrasted with the possible worlds account of counterfactuals, this structural model enjoys the advantages of representational economy, algorithmic simplicity, and conceptual clarity. This introduction traces the emergence of the structural model and gives a panoramic view of several applications where counterfactual reasoning has benefited problem areas in the empirical sciences.
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