Abstract
When making decisions humans often violate the principles of rational choice theory. Recent experiments, involving rapid experiential decisions, uncovered a mechanism that is responsible for various rationality violations. According to this selective gating mechanism, incoming value samples are accumulated across time, but prior to their accumulation they are weighted in proportion to their momentary rank-order. Here, using a data-driven approach, I present a dynamic extension of this mechanism, which involves potentially asymmetric inhibition between the inputs. As a result, and contrary to the previous selective gating implementation, the vigour of gating is modulated by the difference between two value samples (a distance effect) as well as by the absolute magnitude of the samples (a magnitude effect). This extension offers a superior explanation to existing and new data; and links high-level decision phenomena with computational principles previously described in theories of selective attention and visual search.
Original language | English |
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Title of host publication | CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society |
Subtitle of host publication | Computational Foundations of Cognition |
Publisher | The Cognitive Science Society |
Pages | 1230-1235 |
Number of pages | 6 |
ISBN (Electronic) | 9780991196760 |
Publication status | Published - 2017 |
Event | 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 - London, United Kingdom Duration: 26 Jul 2017 → 29 Jul 2017 |
Publication series
Name | CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition |
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Conference
Conference | 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 |
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Country/Territory | United Kingdom |
City | London |
Period | 26/07/17 → 29/07/17 |
Bibliographical note
Funding Information:I thank Artemis Maipa for assistance with data collection. This work was funded by a Wellcome Career Development fellowship, a British Academy/ Leverhulme Trust awarded and a Marie Curie Individual Fellowship awarded to the author.
Publisher Copyright:
© CogSci 2017.
Keywords
- Experiential decisions
- Intransitivity
- Risk-seeking
- Selective integration