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Explanatory Completeness: Evidence from Causal Chains
Abstract
Explanations have no bound in principle, but in practice, people prefer explanations that are complete (Zemla etal., 2017), and the explanations that they generate are bounded (Miyake, 1986). We tested reasoners’ ability to assess whethersome explanations are incomplete. Participants in three experiments received explanations, i.e., chains of causal events, e.g., Acauses B causes C. Their task was to choose questions relevant to links in the chain. Some explanations contained ”breaks” inthe chain, whereas others did not. Participants in three studies were able to detect the breaks, and preliminary data suggest thatthey assess explanations with breaks as less complete than those without breaks. Many participants also chose to ask questionsabout the initial event in a causal chain (e.g., A in the chain above), suggesting that such initial events are themselves seen asincomplete. The studies reveal a novel pattern in reasoners’ ability to formulate explanations.
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