Understanding Optimal Decision-Making

The military has realized that their most valuable and adaptable assets are its leaders. Understanding optimal decision-making will allow the military to more effectively train its leaders. The Cognitive Alignment with Performance Targeted Training Intervention Model (CAPTTIM) was developed to aid t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Critz, John W
Format: Report
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Critz, John W
description The military has realized that their most valuable and adaptable assets are its leaders. Understanding optimal decision-making will allow the military to more effectively train its leaders. The Cognitive Alignment with Performance Targeted Training Intervention Model (CAPTTIM) was developed to aid the training of optimal decision making. CAPTTIM determines when decision performance (categorized as near-optimal or suboptimal) is aligned or misaligned with cognitive state (categorized as exploration or exploitation): when someone thinks they have figured out the task (exploitation cognitive state), is their decision performance actually near optimal? Prior research categorized subjects cognitive states as exploration or exploitation, but the delineation of decision performance had yet been done. The primary focus of this thesis was to use pre-collected and de-identified data to (1) determine and validate a threshold that delineated near-optimal and suboptimal decision performance with the metric, regret, and (2) categorize the combination of cognitive state and decision performance into CAPTTIM on a trial-by-trial basis. A change point analysis of regret provided an effective threshold delineation of decision performance across all subjects. Visualization techniques were employed to categorize decision and cognitive state data into CAPTTIM on a trial-by-trial basis. Thus, CAPTTIM was validated as a means of understanding decision-making. The original document contains color images.
format Report
fullrecord <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_ADA632316</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ADA632316</sourcerecordid><originalsourceid>FETCH-dtic_stinet_ADA6323163</originalsourceid><addsrcrecordid>eNrjZFANzUtJLSouScxLycxLV_AvKMnMTcxRcElNzizOzM_T9U3MBorzMLCmJeYUp_JCaW4GGTfXEGcP3ZSSzOT44pLMvNSSeEcXRzNjI2NDM2MC0gDB7SRQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>Understanding Optimal Decision-Making</title><source>DTIC Technical Reports</source><creator>Critz, John W</creator><creatorcontrib>Critz, John W ; NAVAL POSTGRADUATE SCHOOL MONTEREY CA</creatorcontrib><description>The military has realized that their most valuable and adaptable assets are its leaders. Understanding optimal decision-making will allow the military to more effectively train its leaders. The Cognitive Alignment with Performance Targeted Training Intervention Model (CAPTTIM) was developed to aid the training of optimal decision making. CAPTTIM determines when decision performance (categorized as near-optimal or suboptimal) is aligned or misaligned with cognitive state (categorized as exploration or exploitation): when someone thinks they have figured out the task (exploitation cognitive state), is their decision performance actually near optimal? Prior research categorized subjects cognitive states as exploration or exploitation, but the delineation of decision performance had yet been done. The primary focus of this thesis was to use pre-collected and de-identified data to (1) determine and validate a threshold that delineated near-optimal and suboptimal decision performance with the metric, regret, and (2) categorize the combination of cognitive state and decision performance into CAPTTIM on a trial-by-trial basis. A change point analysis of regret provided an effective threshold delineation of decision performance across all subjects. Visualization techniques were employed to categorize decision and cognitive state data into CAPTTIM on a trial-by-trial basis. Thus, CAPTTIM was validated as a means of understanding decision-making. The original document contains color images.</description><language>eng</language><subject>Administration and Management ; CAPTTIM(COGNITIVE ALIGNMENT WITH PERFORMANCE TARGETED TRAINING INTERVENTION MODEL) ; CHANGE POINT ANALYSIS ; COGNITION ; DECISION MAKING ; EXPONENTIALLY WEIGHTED MOVING AVERAGE ; IOWA GAMBLING TASK ; LEADERSHIP ; OPTIMAL DECISION-MAKING ; REGRET ; THESES ; TRAINING</subject><creationdate>2015</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27565,27566</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA632316$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Critz, John W</creatorcontrib><creatorcontrib>NAVAL POSTGRADUATE SCHOOL MONTEREY CA</creatorcontrib><title>Understanding Optimal Decision-Making</title><description>The military has realized that their most valuable and adaptable assets are its leaders. Understanding optimal decision-making will allow the military to more effectively train its leaders. The Cognitive Alignment with Performance Targeted Training Intervention Model (CAPTTIM) was developed to aid the training of optimal decision making. CAPTTIM determines when decision performance (categorized as near-optimal or suboptimal) is aligned or misaligned with cognitive state (categorized as exploration or exploitation): when someone thinks they have figured out the task (exploitation cognitive state), is their decision performance actually near optimal? Prior research categorized subjects cognitive states as exploration or exploitation, but the delineation of decision performance had yet been done. The primary focus of this thesis was to use pre-collected and de-identified data to (1) determine and validate a threshold that delineated near-optimal and suboptimal decision performance with the metric, regret, and (2) categorize the combination of cognitive state and decision performance into CAPTTIM on a trial-by-trial basis. A change point analysis of regret provided an effective threshold delineation of decision performance across all subjects. Visualization techniques were employed to categorize decision and cognitive state data into CAPTTIM on a trial-by-trial basis. Thus, CAPTTIM was validated as a means of understanding decision-making. The original document contains color images.</description><subject>Administration and Management</subject><subject>CAPTTIM(COGNITIVE ALIGNMENT WITH PERFORMANCE TARGETED TRAINING INTERVENTION MODEL)</subject><subject>CHANGE POINT ANALYSIS</subject><subject>COGNITION</subject><subject>DECISION MAKING</subject><subject>EXPONENTIALLY WEIGHTED MOVING AVERAGE</subject><subject>IOWA GAMBLING TASK</subject><subject>LEADERSHIP</subject><subject>OPTIMAL DECISION-MAKING</subject><subject>REGRET</subject><subject>THESES</subject><subject>TRAINING</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2015</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZFANzUtJLSouScxLycxLV_AvKMnMTcxRcElNzizOzM_T9U3MBorzMLCmJeYUp_JCaW4GGTfXEGcP3ZSSzOT44pLMvNSSeEcXRzNjI2NDM2MC0gDB7SRQ</recordid><startdate>201506</startdate><enddate>201506</enddate><creator>Critz, John W</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>201506</creationdate><title>Understanding Optimal Decision-Making</title><author>Critz, John W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA6323163</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Administration and Management</topic><topic>CAPTTIM(COGNITIVE ALIGNMENT WITH PERFORMANCE TARGETED TRAINING INTERVENTION MODEL)</topic><topic>CHANGE POINT ANALYSIS</topic><topic>COGNITION</topic><topic>DECISION MAKING</topic><topic>EXPONENTIALLY WEIGHTED MOVING AVERAGE</topic><topic>IOWA GAMBLING TASK</topic><topic>LEADERSHIP</topic><topic>OPTIMAL DECISION-MAKING</topic><topic>REGRET</topic><topic>THESES</topic><topic>TRAINING</topic><toplevel>online_resources</toplevel><creatorcontrib>Critz, John W</creatorcontrib><creatorcontrib>NAVAL POSTGRADUATE SCHOOL MONTEREY CA</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Critz, John W</au><aucorp>NAVAL POSTGRADUATE SCHOOL MONTEREY CA</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Understanding Optimal Decision-Making</btitle><date>2015-06</date><risdate>2015</risdate><abstract>The military has realized that their most valuable and adaptable assets are its leaders. Understanding optimal decision-making will allow the military to more effectively train its leaders. The Cognitive Alignment with Performance Targeted Training Intervention Model (CAPTTIM) was developed to aid the training of optimal decision making. CAPTTIM determines when decision performance (categorized as near-optimal or suboptimal) is aligned or misaligned with cognitive state (categorized as exploration or exploitation): when someone thinks they have figured out the task (exploitation cognitive state), is their decision performance actually near optimal? Prior research categorized subjects cognitive states as exploration or exploitation, but the delineation of decision performance had yet been done. The primary focus of this thesis was to use pre-collected and de-identified data to (1) determine and validate a threshold that delineated near-optimal and suboptimal decision performance with the metric, regret, and (2) categorize the combination of cognitive state and decision performance into CAPTTIM on a trial-by-trial basis. A change point analysis of regret provided an effective threshold delineation of decision performance across all subjects. Visualization techniques were employed to categorize decision and cognitive state data into CAPTTIM on a trial-by-trial basis. Thus, CAPTTIM was validated as a means of understanding decision-making. The original document contains color images.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_dtic_stinet_ADA632316
source DTIC Technical Reports
subjects Administration and Management
CAPTTIM(COGNITIVE ALIGNMENT WITH PERFORMANCE TARGETED TRAINING INTERVENTION MODEL)
CHANGE POINT ANALYSIS
COGNITION
DECISION MAKING
EXPONENTIALLY WEIGHTED MOVING AVERAGE
IOWA GAMBLING TASK
LEADERSHIP
OPTIMAL DECISION-MAKING
REGRET
THESES
TRAINING
title Understanding Optimal Decision-Making
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T21%3A13%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=Understanding%20Optimal%20Decision-Making&rft.au=Critz,%20John%20W&rft.aucorp=NAVAL%20POSTGRADUATE%20SCHOOL%20MONTEREY%20CA&rft.date=2015-06&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EADA632316%3C/dtic_1RU%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true