The implicit possibility of dualism in quantum probabilistic cognitive modeling

Pothos & Busemeyer (P&B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows fro...

Full description

Saved in:
Bibliographic Details
Published in:The Behavioral and brain sciences 2013-06, Vol.36 (3), p.298-299
Main Author: Mender, Donald
Format: Article
Language:English
Subjects:
Bayesian analysis
Brain
Cognition
Cognition & reasoning
Cognitive ability
Humans
Models, Psychological
Open Peer Commentary
Physics
Probability Theory
Quantum field theory
Quantum Theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c406t-735309f04b1c5085a61df4e2facb2aa41e48d09f819fcc1958aa868d99adb35f3
cites cdi_FETCH-LOGICAL-c406t-735309f04b1c5085a61df4e2facb2aa41e48d09f819fcc1958aa868d99adb35f3
container_end_page 299
container_issue 3
container_start_page 298
container_title The Behavioral and brain sciences
container_volume 36
creator Mender, Donald
description Pothos & Busemeyer (P&B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows from the authors' “agnosticism” regarding quantum processes in neural substrates underlying cognition. Addressing this problem will require either future research findings validating quantum neurophysics or theoretical expansion of the uncertainty principle as a new, neurocognitively contextualized, “local” symmetry.
doi_str_mv 10.1017/S0140525X12003044
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1367491315</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0140525X12003044</cupid><sourcerecordid>2637303911</sourcerecordid><originalsourceid>FETCH-LOGICAL-c406t-735309f04b1c5085a61df4e2facb2aa41e48d09f819fcc1958aa868d99adb35f3</originalsourceid><addsrcrecordid>eNqNkU1LAzEQhoMotlZ_gBcJePGymsnH7uYoxS8o9GAFb0s2ydaU_Wg3u0L_vVlaFRTB0xzmmXfmnRehcyDXQCC5eSbAiaDiFSghjHB-gMbAYxlBSsUhGg_taOiP0In3K0KI4EIeoxFlcRJ4MUbzxZvFrlqXTrsOrxvvXe5K121xU2DTq9L5Crsab3pVd32F122Tq4HwndNYN8vade7d4qoxtnT18hQdFar09mxfJ-jl_m4xfYxm84en6e0s0pzEXZQwwYgsCM9BC5IKFYMpuKWF0jlVioPlqQlACrLQGqRIlUrj1EipTM5EwSboaqcbDtr01ndZ5by2Zalq2_Q-g-CQS2Ag_oEKShMZCwjo5Q901fRtHYxkNGbhZUzCQMGO0m34V2uLbN26SrXbDEg2BJP9CibMXOyV-7yy5mviM4kAsL2oqvLWmaX93v237Acd4Zdb</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2637303911</pqid></control><display><type>article</type><title>The implicit possibility of dualism in quantum probabilistic cognitive modeling</title><source>Cambridge University Press</source><creator>Mender, Donald</creator><creatorcontrib>Mender, Donald</creatorcontrib><description>Pothos &amp; Busemeyer (P&amp;B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows from the authors' “agnosticism” regarding quantum processes in neural substrates underlying cognition. Addressing this problem will require either future research findings validating quantum neurophysics or theoretical expansion of the uncertainty principle as a new, neurocognitively contextualized, “local” symmetry.</description><identifier>ISSN: 0140-525X</identifier><identifier>EISSN: 1469-1825</identifier><identifier>DOI: 10.1017/S0140525X12003044</identifier><identifier>PMID: 23673045</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Bayesian analysis ; Brain ; Cognition ; Cognition &amp; reasoning ; Cognitive ability ; Humans ; Models, Psychological ; Open Peer Commentary ; Physics ; Probability Theory ; Quantum field theory ; Quantum Theory</subject><ispartof>The Behavioral and brain sciences, 2013-06, Vol.36 (3), p.298-299</ispartof><rights>Copyright © Cambridge University Press 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-735309f04b1c5085a61df4e2facb2aa41e48d09f819fcc1958aa868d99adb35f3</citedby><cites>FETCH-LOGICAL-c406t-735309f04b1c5085a61df4e2facb2aa41e48d09f819fcc1958aa868d99adb35f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0140525X12003044/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,72703</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23673045$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mender, Donald</creatorcontrib><title>The implicit possibility of dualism in quantum probabilistic cognitive modeling</title><title>The Behavioral and brain sciences</title><addtitle>Behav Brain Sci</addtitle><description>Pothos &amp; Busemeyer (P&amp;B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows from the authors' “agnosticism” regarding quantum processes in neural substrates underlying cognition. Addressing this problem will require either future research findings validating quantum neurophysics or theoretical expansion of the uncertainty principle as a new, neurocognitively contextualized, “local” symmetry.</description><subject>Bayesian analysis</subject><subject>Brain</subject><subject>Cognition</subject><subject>Cognition &amp; reasoning</subject><subject>Cognitive ability</subject><subject>Humans</subject><subject>Models, Psychological</subject><subject>Open Peer Commentary</subject><subject>Physics</subject><subject>Probability Theory</subject><subject>Quantum field theory</subject><subject>Quantum Theory</subject><issn>0140-525X</issn><issn>1469-1825</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqNkU1LAzEQhoMotlZ_gBcJePGymsnH7uYoxS8o9GAFb0s2ydaU_Wg3u0L_vVlaFRTB0xzmmXfmnRehcyDXQCC5eSbAiaDiFSghjHB-gMbAYxlBSsUhGg_taOiP0In3K0KI4EIeoxFlcRJ4MUbzxZvFrlqXTrsOrxvvXe5K121xU2DTq9L5Crsab3pVd32F122Tq4HwndNYN8vade7d4qoxtnT18hQdFar09mxfJ-jl_m4xfYxm84en6e0s0pzEXZQwwYgsCM9BC5IKFYMpuKWF0jlVioPlqQlACrLQGqRIlUrj1EipTM5EwSboaqcbDtr01ndZ5by2Zalq2_Q-g-CQS2Ag_oEKShMZCwjo5Q901fRtHYxkNGbhZUzCQMGO0m34V2uLbN26SrXbDEg2BJP9CibMXOyV-7yy5mviM4kAsL2oqvLWmaX93v237Acd4Zdb</recordid><startdate>20130601</startdate><enddate>20130601</enddate><creator>Mender, Donald</creator><general>Cambridge University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>7QG</scope></search><sort><creationdate>20130601</creationdate><title>The implicit possibility of dualism in quantum probabilistic cognitive modeling</title><author>Mender, Donald</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-735309f04b1c5085a61df4e2facb2aa41e48d09f819fcc1958aa868d99adb35f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Bayesian analysis</topic><topic>Brain</topic><topic>Cognition</topic><topic>Cognition &amp; reasoning</topic><topic>Cognitive ability</topic><topic>Humans</topic><topic>Models, Psychological</topic><topic>Open Peer Commentary</topic><topic>Physics</topic><topic>Probability Theory</topic><topic>Quantum field theory</topic><topic>Quantum Theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mender, Donald</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database (ProQuest)</collection><collection>ProQuest Research Library</collection><collection>ProQuest Biological Science Journals</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Animal Behavior Abstracts</collection><jtitle>The Behavioral and brain sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mender, Donald</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The implicit possibility of dualism in quantum probabilistic cognitive modeling</atitle><jtitle>The Behavioral and brain sciences</jtitle><addtitle>Behav Brain Sci</addtitle><date>2013-06-01</date><risdate>2013</risdate><volume>36</volume><issue>3</issue><spage>298</spage><epage>299</epage><pages>298-299</pages><issn>0140-525X</issn><eissn>1469-1825</eissn><abstract>Pothos &amp; Busemeyer (P&amp;B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows from the authors' “agnosticism” regarding quantum processes in neural substrates underlying cognition. Addressing this problem will require either future research findings validating quantum neurophysics or theoretical expansion of the uncertainty principle as a new, neurocognitively contextualized, “local” symmetry.</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><pmid>23673045</pmid><doi>10.1017/S0140525X12003044</doi><tpages>2</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0140-525X
ispartof The Behavioral and brain sciences, 2013-06, Vol.36 (3), p.298-299
issn 0140-525X
1469-1825
language eng
recordid cdi_proquest_miscellaneous_1367491315
source Cambridge University Press
subjects Bayesian analysis
Brain
Cognition
Cognition & reasoning
Cognitive ability
Humans
Models, Psychological
Open Peer Commentary
Physics
Probability Theory
Quantum field theory
Quantum Theory
title The implicit possibility of dualism in quantum probabilistic cognitive modeling
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T16%3A42%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20implicit%20possibility%20of%20dualism%20in%20quantum%20probabilistic%20cognitive%20modeling&rft.jtitle=The%20Behavioral%20and%20brain%20sciences&rft.au=Mender,%20Donald&rft.date=2013-06-01&rft.volume=36&rft.issue=3&rft.spage=298&rft.epage=299&rft.pages=298-299&rft.issn=0140-525X&rft.eissn=1469-1825&rft_id=info:doi/10.1017/S0140525X12003044&rft_dat=%3Cproquest_cross%3E2637303911%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c406t-735309f04b1c5085a61df4e2facb2aa41e48d09f819fcc1958aa868d99adb35f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2637303911&rft_id=info:pmid/23673045&rft_cupid=10_1017_S0140525X12003044&rfr_iscdi=true