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Interference in Choice and Confidence: Using the Quantum Random Walk to Model Distributions of Confidence

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Quantum Interaction (QI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8369))

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Abstract

In this paper, we examine the effect of making a choice on subsequent confidence. Using a simple binary forced-choice perceptual task, we show that committing to a decision results in perturbed probability (confidence) judgments compared to a control condition where no decision is elicited, suggesting that committing to a decision interferes with subsequent information processing. Current classical probability models of decision-making and confidence do not predict this interference effect, but it arises naturally out of a quantum random walk model. We show that this model provides a better fit to the data and provides novel predictions of interference as well as improved confidence accuracy following a decision.

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Correspondence to Peter D. Kvam .

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Kvam, P.D., Pleskac, T.J., Busemeyer, J.R., Yu, S. (2014). Interference in Choice and Confidence: Using the Quantum Random Walk to Model Distributions of Confidence. In: Atmanspacher, H., Haven, E., Kitto, K., Raine, D. (eds) Quantum Interaction. QI 2013. Lecture Notes in Computer Science(), vol 8369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54943-4_20

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  • DOI: https://doi.org/10.1007/978-3-642-54943-4_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54942-7

  • Online ISBN: 978-3-642-54943-4

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