Quantum cognition is an interdisciplinary emerging field within the cognitive sciences which applies various axioms of quantum mechanics to cognitive processes. This thesis reports the results of several empirical investigations which focus on the applicability of quantum cognition to psychophysical perceptual processes. Specifically, we experimentally tested several a priori hypotheses concerning 1) constructive measurement effects in sequential perceptual judgments and 2) noncommutativity in the measurement of psychophysical observables. In order to establish the generalisability of our findings, we evaluated our prediction across different sensory modalities (i.e., visual versus auditory perception) and in cross-cultural populations (United Kingdom and India). Given the well-documented acute “statistical crisis” in science (Loken & Gelman, 2017) and the various paralogisms associated with Fisherian/Neyman-Pearsonian null hypothesis significance testing, we contrasted various alternative statistical approaches which are based on complementary inferential frameworks (i.e., classical null hypothesis significance testing, nonparametric bootstrapping, model comparison based on Bayes Factors analysis, Bayesian bootstrapping, and Bayesian parameter estimation via Markov chain Monte Carlo simulations). This multimethod approach enabled us to analytically cross-validate our experimental results, thereby increasing the robustness and reliability of our inferential conclusions. The findings are discussed in an interdisciplinary context which synthesises knowledge from several prima facie separate disciplines (i.e., psychology, quantum physics, neuroscience, and philosophy). We propose a radical reconceptualization of various epistemological and ontological assumptions which are ubiquitously taken for granted (e.g., naïve and local realism/cognitive determinism). Our conclusions are motivated by recent cutting-edge findings in experimental quantum physics which are incompatible with the materialistic/deterministic metaphysical Weltanschauung internalised by the majority of scientists. Consequently, we argue that scientists need to update their nonevidence-based implicit beliefs in the light of this epistemologically challenging empirical evidence.
Thesis abstract
Full screenExit full screen
Shadow
Slider

REST-style URL: http://phd-thesis.ga
Primary NavigationPrimary Navigation

A psychophysical investigation of quantum cognition: An interdisciplinary synthesis

PhD Thesis by Christopher B. Germann (Marie Curie Fellow / PhD, MSc, BSc)

Full-text HTML5 version: https://christopher-germann.de/phd-dissertation/html5/

Plain-Text version: https://christopher-germann.de/phd-dissertation/txt/index.txt

PDF version: https://christopher-germann.de/phd-dissertation/pdf/phd-dissertation-christopher-b-germann-2019.pdf

Handle: http://hdl.handle.net/10026.1/13713

Meta data
dc.contributor.supervisor Harris, Christopher, M  
dc.contributor.author Germann, Christopher, B  
dc.contributor.other Faculty of Health and Human Sciences en_US
dc.date.accessioned 2019-04-15T12:38:03Z  
dc.date.issued 2019  
dc.identifier 10263161 en_US
dc.identifier.uri http://hdl.handle.net/10026.1/13713  
dc.description Edited version embargoed until 15.04.2020 Full version: Access restricted permanently due to 3rd party copyright restrictions. Restriction set on 15/04/2019 by AS, Doctoral College  
dc.description.abstract

Quantum cognition is an interdisciplinary emerging field within the cognitive sciences which applies various axioms of quantum mechanics to cognitive processes. This thesis reports the results of several empirical investigations which focus on the applicability of quantum cognition to psychophysical perceptual processes. Specifically, we experimentally tested several a priori hypotheses concerning 1) constructive measurement effects in sequential perceptual judgments and 2) noncommutativity in the measurement of psychophysical observables. In order to establish the generalisability of our findings, we evaluated our prediction across different sensory modalities (i.e., visual versus auditory perception) and in cross-cultural populations (United Kingdom and India). Given the well-documented acute “statistical crisis” in science (Loken & Gelman, 2017a) and the various paralogisms associated with Fisherian/Neyman-Pearsonian null hypothesis significance testing, we contrasted various alternative statistical approaches which are based on complementary inferential frameworks (i.e., classical null hypothesis significance testing, nonparametric bootstrapping, model comparison based on Bayes Factors analysis, Bayesian bootstrapping, and Bayesian parameter estimation via Markov chain Monte Carlo simulations). This multimethod approach enabled us to analytically cross-validate our experimental results, thereby increasing the robustness and reliability of our inferential conclusions. The findings are discussed in an interdisciplinary context which synthesises knowledge from several prima facie separate disciplines (i.e., psychology, quantum physics, neuroscience, and philosophy). We propose a radical reconceptualization of various epistemological and ontological assumptions which are ubiquitously taken for granted (e.g., naïve and local realism/cognitive determinism). Our conclusions are motivated by recent cutting-edge findings in experimental quantum physics which are incompatible with the materialistic/deterministic metaphysical Weltanschauung internalised by the majority of scientists. Consequently, we argue that scientists need to update their nonevidence-based implicit beliefs in the light of this epistemologically challenging empirical evidence.

en_US
dc.language.iso en  
dc.publisher University of Plymouth  
dc.subject Psychology en_US
dc.subject Neuroscience en_US
dc.subject Psychophysics en_US
dc.subject Quantum physics en_US
dc.subject Cognitive science en_US
dc.subject Perception en_US
dc.subject Decision-making en_US
dc.subject Noncommutativity en_US
dc.subject Epistemology en_US
dc.subject Nonduality en_US
dc.subject.classification PhD en_US
dc.title A psychophysical investigation of quantum cognition: An interdisciplinary synthesis en_US
dc.type Thesis  
plymouth.version non-publishable en_US
dc.rights.embargodate 2020-04-15T12:38:03Z  
dc.rights.embargodate 9999-09-09  
dc.rights.embargoperiod 12 months en_US
dc.type.qualification Doctorate en_US
rioxxterms.funder Seventh Framework Programme en_US
rioxxterms.identifier.project Marie Curie Initial Training Network FP7-PEOPLE-2013-ITN, CogNovo, grant number: 604764 en_US
rioxxterms.version NA  
plymouth.orcid.id 0000-0002-1573-4651 en_US
rioxxterms.funder.project 8523d25e-35a8-43ab-bde6-269f9c15c305 en_US

Thesis MindMap

Functions

AI translation:

Computerized text-to-speech synthesis:

Thesis Abstract.

Quantum cognition is an interdisciplinary emerging field within the cognitive sciences which applies various axioms of quantum mechanics to cognitive processes. This thesis reports the results of several empirical investigations which focus on the applicability of quantum cognition to psychophysical perceptual processes. Specifically, we experimentally tested several a priori hypotheses concerning 1) constructive measurement effects in sequential perceptual judgments and 2) noncommutativity in the measurement of psychophysical observables. In order to establish the generalisability of our findings, we evaluated our prediction across different sensory modalities (i.e., visual versus auditory perception) and in cross-cultural populations (United Kingdom and India). Given the well-documented acute “statistical crisis” in science (Loken & Gelman, 2017) and the various paralogisms associated with Fisherian/Neyman-Pearsonian null hypothesis significance testing, we contrasted various alternative statistical approaches which are based on complementary inferential frameworks (i.e., classical null hypothesis significance testing, nonparametric bootstrapping, model comparison based on Bayes Factors analysis, Bayesian bootstrapping, and Bayesian parameter estimation via Markov chain Monte Carlo simulations). This multimethod approach enabled us to analytically cross-validate our experimental results, thereby increasing the robustness and reliability of our inferential conclusions. The findings are discussed in an interdisciplinary context which synthesises knowledge from several prima facie separate disciplines (i.e., psychology, quantum physics, neuroscience, and philosophy). We propose a radical reconceptualization of various epistemological and ontological assumptions which are ubiquitously taken for granted (e.g., naïve and local realism/cognitive determinism). Our conclusions are motivated by recent cutting-edge findings in experimental quantum physics which are incompatible with the materialistic/deterministic metaphysical Weltanschauung internalised by the majority of scientists. Consequently, we argue that scientists need to update their nonevidence-based implicit beliefs in the light of this epistemologically challenging empirical evidence.

Table of Contents

https://christopher-germann.de/wp-content/uploads/phd-thesis-christopher-b-germann-toc.pdf

phd-thesis-christopher-b-germann-toc
The R code associated with various analyses used in this thesis can be found in the following repository I created: http://R-code.ml

Graphics

previous arrownext arrow
previous arrow
next arrow
Full screenExit full screen
Shadow
Slider

PhD Thesis MindMap

References

Atmanspacher, H.. (2012). Dual-aspect monism à la Pauli and Jung perforates the completeness of physics. In Journal of Consciousness Studies (pp. 5–21)
Plain numerical DOI: 10.1063/1.4773112 DOI URL directSciHub download
Bruza, P. D., Wang, Z., & Busemeyer, J. R.. (2015). Quantum cognition: a new theoretical approach to psychology. Trends in Cognitive Sciences, 19(7), 383–393.
Plain numerical DOI: 10.1016/j.tics.2015.05.001 DOI URL directSciHub download
Hoffman, D. D.. (2016). The Interface Theory of Perception. Current Directions in Psychological Science, 25(3), 157–161.
Plain numerical DOI: 10.1177/0963721416639702 DOI URL directSciHub download
Loken, E., & Gelman, A.. (2017). Measurement error and the replication crisis. Science, 355(6325), 584–585.
Plain numerical DOI: 10.1126/science.aal3618 DOI URL directSciHub download
Pothos, E. M., & Busemeyer, J. R.. (2013). Can quantum probability provide a new direction for cognitive modeling?. Behavioral and Brain Sciences, 36(03), 255–274.
Plain numerical DOI: 10.1017/S0140525X12001525 DOI URL directSciHub download
Yearsley, J. M., & Pothos, E. M.. (2014). Challenging the classical notion of time in cognition: a quantum perspective. Proceedings of the Royal Society B: Biological Sciences, 281(1781), 20133056–20133056.
Plain numerical DOI: 10.1098/rspb.2013.3056 DOI URL directSciHub download
Top