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Natural forces as agents: Reconceptualizing the animate–inanimate distinction
•Natural forces are easier to integrate with action verbs than instruments.•This effect is modulated by sentence structure.•This pattern is similar to work that compared animate and inanimate nouns.•Perceived agency seems to be a more important factor than animacy. Research spanning multiple domains...
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Published in: | Cognition 2015-03, Vol.136, p.85-90 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Natural forces are easier to integrate with action verbs than instruments.•This effect is modulated by sentence structure.•This pattern is similar to work that compared animate and inanimate nouns.•Perceived agency seems to be a more important factor than animacy.
Research spanning multiple domains of psychology has demonstrated preferential processing of animate as compared to inanimate entities—a pattern that is commonly explained as due to evolutionarily adaptive behavior. Forces of nature represent a class of entities that are semantically inanimate but which behave as if they are animate in that they possess the ability to initiate movement and cause actions. We report an eye-tracking experiment demonstrating that natural forces are processed like animate entities during online sentence processing: they are easier to integrate with action verbs than instruments, and this effect is mediated by sentence structure. The results suggest that many cognitive and linguistic phenomena that have previously been attributed to animacy may be more appropriately attributed to perceived agency. To the extent that this is so, the cognitive potency of animate entities may not be due to vigilant monitoring of the environment for unpredictable events as argued by evolutionary psychologists but instead may be more adequately explained as reflecting a cognitive and linguistic focus on causal explanations that is adaptive because it increases the predictability of events. |
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ISSN: | 0010-0277 1873-7838 |
DOI: | 10.1016/j.cognition.2014.11.021 |