Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment
Decision field theory provides for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. This theory is used to explain (a) violations of stochastic dominance, (b) violations of strong stochastic transitivity, (c) violations of independen...
Gespeichert in:
| Veröffentlicht in: | Psychological review 1993-07, Vol.100 (3), p.432-459 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 459 |
|---|---|
| container_issue | 3 |
| container_start_page | 432 |
| container_title | Psychological review |
| container_volume | 100 |
| creator | Busemeyer, Jerome R Townsend, James T |
| description | Decision field theory provides for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. This theory is used to explain (a) violations of stochastic dominance, (b) violations of strong stochastic transitivity, (c) violations of independence between alternatives, (d) serial position effects on preference, (e) speed-accuracy tradeoff effects in decision making, (f) the inverse relation between choice probability and decision time, (g) changes in the direction of preference under time pressure, (h) slower decision times for avoidance as compared with approach conflicts, and (i) preference reversals between choice and selling price measures of preference. The proposed theory is compared with 4 other theories of decision making under uncertainty. |
| doi_str_mv | 10.1037/0033-295X.100.3.432 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_75903225</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ471949</ericid><sourcerecordid>57379287</sourcerecordid><originalsourceid>FETCH-LOGICAL-a640t-9cadaee06b4549bdf821350139daba335983ad7d1f1df864b2b5ba7e44980bc23</originalsourceid><addsrcrecordid>eNqFkk1rGzEQhkVpSZy0x57aQujXbR3NjLTaOZZ8NSGQSwK5Ca1WSzasva5kF_zvo8XGlEAaXcTwPjOSeCTEJ5BTkGSOpSQqkPV9LuWUporwjZgAExegDLwVkx2xLw5SepR5AfOe2KtIl1Dpifh4GnyXumF-dN6Fvjm6fQhDXL8X71rXp_Bhux-Ku_Oz25PfxfXNxeXJr-vClUouC_aucSHIslZacd20FQJpCcSNqx2R5opcYxpoIWelqrHWtTNBKa5k7ZEOxc_N3EUc_qxCWtpZl3zoezcPwypZo1kSon4V1IYMY2VeBYklVqjGo78-Ax-HVZzn19oSFBmk_0MIChFKHKFvL0GADBJRyjJTtKF8HFKKobWL2M1cXFuQdtRpR1l2lJVLaclmnbnry3b2qp6FZtez9Zfz79vcJe_6Nrp51rnDlGFGQxn7vMFC7PwuPbvKv4QV5_jHJnYLZxdp7V1cdr4Pycbw95_bPAE5v7gA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>614372342</pqid></control><display><type>article</type><title>Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment</title><source>APA PsycARTICLES</source><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>MEDLINE</source><source>Periodicals Index Online</source><creator>Busemeyer, Jerome R ; Townsend, James T</creator><creatorcontrib>Busemeyer, Jerome R ; Townsend, James T</creatorcontrib><description>Decision field theory provides for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. This theory is used to explain (a) violations of stochastic dominance, (b) violations of strong stochastic transitivity, (c) violations of independence between alternatives, (d) serial position effects on preference, (e) speed-accuracy tradeoff effects in decision making, (f) the inverse relation between choice probability and decision time, (g) changes in the direction of preference under time pressure, (h) slower decision times for avoidance as compared with approach conflicts, and (i) preference reversals between choice and selling price measures of preference. The proposed theory is compared with 4 other theories of decision making under uncertainty.</description><identifier>ISSN: 0033-295X</identifier><identifier>EISSN: 1939-1471</identifier><identifier>DOI: 10.1037/0033-295X.100.3.432</identifier><identifier>PMID: 8356185</identifier><identifier>CODEN: PSRVAX</identifier><language>eng</language><publisher>Washington, DC: American Psychological Association</publisher><subject>Biological and medical sciences ; Cognition. Intelligence ; Cognitive Processes ; Comparative Analysis ; Decision Field Theory ; Decision Making ; Decision theory ; Economics and politics ; Environment ; Equations (Mathematics) ; Female ; Fundamental and applied biological sciences. Psychology ; Human ; Humans ; Male ; Mathematical Modeling ; Mathematical Models ; Models, Theoretical ; Motivation ; Preference Patterns ; Probability ; Psychology ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Stochastic Analysis ; Stochastic Modeling ; Stochastic Processes ; Theories ; Uncertainty</subject><ispartof>Psychological review, 1993-07, Vol.100 (3), p.432-459</ispartof><rights>1993 American Psychological Association</rights><rights>1993 INIST-CNRS</rights><rights>Copyright American Psychological Association Jul 1993</rights><rights>1993, American Psychological Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a640t-9cadaee06b4549bdf821350139daba335983ad7d1f1df864b2b5ba7e44980bc23</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27846,27901,27902,30977</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ471949$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=4799273$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8356185$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Busemeyer, Jerome R</creatorcontrib><creatorcontrib>Townsend, James T</creatorcontrib><title>Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment</title><title>Psychological review</title><addtitle>Psychol Rev</addtitle><description>Decision field theory provides for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. This theory is used to explain (a) violations of stochastic dominance, (b) violations of strong stochastic transitivity, (c) violations of independence between alternatives, (d) serial position effects on preference, (e) speed-accuracy tradeoff effects in decision making, (f) the inverse relation between choice probability and decision time, (g) changes in the direction of preference under time pressure, (h) slower decision times for avoidance as compared with approach conflicts, and (i) preference reversals between choice and selling price measures of preference. The proposed theory is compared with 4 other theories of decision making under uncertainty.</description><subject>Biological and medical sciences</subject><subject>Cognition. Intelligence</subject><subject>Cognitive Processes</subject><subject>Comparative Analysis</subject><subject>Decision Field Theory</subject><subject>Decision Making</subject><subject>Decision theory</subject><subject>Economics and politics</subject><subject>Environment</subject><subject>Equations (Mathematics)</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Humans</subject><subject>Male</subject><subject>Mathematical Modeling</subject><subject>Mathematical Models</subject><subject>Models, Theoretical</subject><subject>Motivation</subject><subject>Preference Patterns</subject><subject>Probability</subject><subject>Psychology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Stochastic Analysis</subject><subject>Stochastic Modeling</subject><subject>Stochastic Processes</subject><subject>Theories</subject><subject>Uncertainty</subject><issn>0033-295X</issn><issn>1939-1471</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1993</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>K30</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkk1rGzEQhkVpSZy0x57aQujXbR3NjLTaOZZ8NSGQSwK5Ca1WSzasva5kF_zvo8XGlEAaXcTwPjOSeCTEJ5BTkGSOpSQqkPV9LuWUporwjZgAExegDLwVkx2xLw5SepR5AfOe2KtIl1Dpifh4GnyXumF-dN6Fvjm6fQhDXL8X71rXp_Bhux-Ku_Oz25PfxfXNxeXJr-vClUouC_aucSHIslZacd20FQJpCcSNqx2R5opcYxpoIWelqrHWtTNBKa5k7ZEOxc_N3EUc_qxCWtpZl3zoezcPwypZo1kSon4V1IYMY2VeBYklVqjGo78-Ax-HVZzn19oSFBmk_0MIChFKHKFvL0GADBJRyjJTtKF8HFKKobWL2M1cXFuQdtRpR1l2lJVLaclmnbnry3b2qp6FZtez9Zfz79vcJe_6Nrp51rnDlGFGQxn7vMFC7PwuPbvKv4QV5_jHJnYLZxdp7V1cdr4Pycbw95_bPAE5v7gA</recordid><startdate>19930701</startdate><enddate>19930701</enddate><creator>Busemeyer, Jerome R</creator><creator>Townsend, James T</creator><general>American Psychological Association</general><general>American Psychological Association, etc</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>IQODW</scope><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>EOLOZ</scope><scope>FKUCP</scope><scope>IOIBA</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7RZ</scope><scope>PSYQQ</scope><scope>7QJ</scope><scope>7X8</scope></search><sort><creationdate>19930701</creationdate><title>Decision Field Theory</title><author>Busemeyer, Jerome R ; Townsend, James T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a640t-9cadaee06b4549bdf821350139daba335983ad7d1f1df864b2b5ba7e44980bc23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Biological and medical sciences</topic><topic>Cognition. Intelligence</topic><topic>Cognitive Processes</topic><topic>Comparative Analysis</topic><topic>Decision Field Theory</topic><topic>Decision Making</topic><topic>Decision theory</topic><topic>Economics and politics</topic><topic>Environment</topic><topic>Equations (Mathematics)</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human</topic><topic>Humans</topic><topic>Male</topic><topic>Mathematical Modeling</topic><topic>Mathematical Models</topic><topic>Models, Theoretical</topic><topic>Motivation</topic><topic>Preference Patterns</topic><topic>Probability</topic><topic>Psychology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Stochastic Analysis</topic><topic>Stochastic Modeling</topic><topic>Stochastic Processes</topic><topic>Theories</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Busemeyer, Jerome R</creatorcontrib><creatorcontrib>Townsend, James T</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 01</collection><collection>Periodicals Index Online Segment 04</collection><collection>Periodicals Index Online Segment 29</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>APA PsycArticles®</collection><collection>ProQuest One Psychology</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>Psychological review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Busemeyer, Jerome R</au><au>Townsend, James T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ471949</ericid><atitle>Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment</atitle><jtitle>Psychological review</jtitle><addtitle>Psychol Rev</addtitle><date>1993-07-01</date><risdate>1993</risdate><volume>100</volume><issue>3</issue><spage>432</spage><epage>459</epage><pages>432-459</pages><issn>0033-295X</issn><eissn>1939-1471</eissn><coden>PSRVAX</coden><abstract>Decision field theory provides for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. This theory is used to explain (a) violations of stochastic dominance, (b) violations of strong stochastic transitivity, (c) violations of independence between alternatives, (d) serial position effects on preference, (e) speed-accuracy tradeoff effects in decision making, (f) the inverse relation between choice probability and decision time, (g) changes in the direction of preference under time pressure, (h) slower decision times for avoidance as compared with approach conflicts, and (i) preference reversals between choice and selling price measures of preference. The proposed theory is compared with 4 other theories of decision making under uncertainty.</abstract><cop>Washington, DC</cop><pub>American Psychological Association</pub><pmid>8356185</pmid><doi>10.1037/0033-295X.100.3.432</doi><tpages>28</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0033-295X |
| ispartof | Psychological review, 1993-07, Vol.100 (3), p.432-459 |
| issn | 0033-295X 1939-1471 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_75903225 |
| source | APA PsycARTICLES; Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Periodicals Index Online |
| subjects | Biological and medical sciences Cognition. Intelligence Cognitive Processes Comparative Analysis Decision Field Theory Decision Making Decision theory Economics and politics Environment Equations (Mathematics) Female Fundamental and applied biological sciences. Psychology Human Humans Male Mathematical Modeling Mathematical Models Models, Theoretical Motivation Preference Patterns Probability Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Stochastic Analysis Stochastic Modeling Stochastic Processes Theories Uncertainty |
| title | Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T21%3A30%3A20IST&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=Decision%20Field%20Theory:%20A%20Dynamic-Cognitive%20Approach%20to%20Decision%20Making%20in%20an%20Uncertain%20Environment&rft.jtitle=Psychological%20review&rft.au=Busemeyer,%20Jerome%20R&rft.date=1993-07-01&rft.volume=100&rft.issue=3&rft.spage=432&rft.epage=459&rft.pages=432-459&rft.issn=0033-295X&rft.eissn=1939-1471&rft.coden=PSRVAX&rft_id=info:doi/10.1037/0033-295X.100.3.432&rft_dat=%3Cproquest_cross%3E57379287%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=614372342&rft_id=info:pmid/8356185&rft_ericid=EJ471949&rfr_iscdi=true |