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On Staying Grounded and Avoiding Quixotic Dead Ends

Overview of attention for article published in Psychonomic Bulletin & Review, April 2016
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Title
On Staying Grounded and Avoiding Quixotic Dead Ends
Published in
Psychonomic Bulletin & Review, April 2016
DOI 10.3758/s13423-016-1028-3
Pubmed ID
Authors

Lawrence W. Barsalou

Abstract

The 15 articles in this special issue on The Representation of Concepts illustrate the rich variety of theoretical positions and supporting research that characterize the area. Although much agreement exists among contributors, much disagreement exists as well, especially about the roles of grounding and abstraction in conceptual processing. I first review theoretical approaches raised in these articles that I believe are Quixotic dead ends, namely, approaches that are principled and inspired but likely to fail. In the process, I review various theories of amodal symbols, their distortions of grounded theories, and fallacies in the evidence used to support them. Incorporating further contributions across articles, I then sketch a theoretical approach that I believe is likely to be successful, which includes grounding, abstraction, flexibility, explaining classic conceptual phenomena, and making contact with real-world situations. This account further proposes that (1) a key element of grounding is neural reuse, (2) abstraction takes the forms of multimodal compression, distilled abstraction, and distributed linguistic representation (but not amodal symbols), and (3) flexible context-dependent representations are a hallmark of conceptual processing.

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Geographical breakdown

Country Count As %
United States 4 2%
Netherlands 1 <1%
Unknown 218 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 23%
Researcher 37 17%
Student > Master 32 14%
Student > Bachelor 18 8%
Professor 14 6%
Other 42 19%
Unknown 29 13%
Readers by discipline Count As %
Psychology 79 35%
Neuroscience 25 11%
Linguistics 20 9%
Philosophy 14 6%
Computer Science 12 5%
Other 31 14%
Unknown 42 19%