A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment
Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lee, Namho [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2011 |
|---|
| Schlagwörter: |
Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) |
|---|
| Anmerkung: |
© Springer Science+Business Media, LLC 2011 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Information systems frontiers - Springer US, 1999, 14(2011), 3 vom: 22. Jan., Seite 653-668 |
|---|---|
| Übergeordnetes Werk: |
volume:14 ; year:2011 ; number:3 ; day:22 ; month:01 ; pages:653-668 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10796-011-9294-0 |
|---|
| Katalog-ID: |
OLC2034128109 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2034128109 | ||
| 003 | DE-627 | ||
| 005 | 20230503101522.0 | ||
| 007 | tu | ||
| 008 | 200819s2011 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10796-011-9294-0 |2 doi | |
| 035 | |a (DE-627)OLC2034128109 | ||
| 035 | |a (DE-He213)s10796-011-9294-0-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 070 |a 004 |q VZ |
| 084 | |a 24,1 |a 3,2 |2 ssgn | ||
| 100 | 1 | |a Lee, Namho |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment |
| 264 | 1 | |c 2011 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer Science+Business Media, LLC 2011 | ||
| 520 | |a Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. | ||
| 650 | 4 | |a Cognitive Map (CM) | |
| 650 | 4 | |a Case-Based Reasoning (CBR) | |
| 650 | 4 | |a Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) | |
| 650 | 4 | |a Sales opportunity assessment cases | |
| 700 | 1 | |a Bae, Jae Kwon |4 aut | |
| 700 | 1 | |a Koo, Chulmo |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Information systems frontiers |d Springer US, 1999 |g 14(2011), 3 vom: 22. Jan., Seite 653-668 |w (DE-627)333991958 |w (DE-600)2057666-3 |w (DE-576)444637265 |x 1387-3326 |7 nnns |
| 773 | 1 | 8 | |g volume:14 |g year:2011 |g number:3 |g day:22 |g month:01 |g pages:653-668 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s10796-011-9294-0 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-BUB | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OLC-WIW | ||
| 912 | |a SSG-OPC-BBI | ||
| 912 | |a GBV_ILN_26 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4029 | ||
| 951 | |a AR | ||
| 952 | |d 14 |j 2011 |e 3 |b 22 |c 01 |h 653-668 | ||
| author_variant |
n l nl j k b jk jkb c k ck |
|---|---|
| matchkey_str |
article:13873326:2011----::csbsdesnnbsdutaetontvmpneecmcaimnplctot |
| hierarchy_sort_str |
2011 |
| publishDate |
2011 |
| allfields |
10.1007/s10796-011-9294-0 doi (DE-627)OLC2034128109 (DE-He213)s10796-011-9294-0-p DE-627 ger DE-627 rakwb eng 070 004 VZ 24,1 3,2 ssgn Lee, Namho verfasserin aut A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. Cognitive Map (CM) Case-Based Reasoning (CBR) Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) Sales opportunity assessment cases Bae, Jae Kwon aut Koo, Chulmo aut Enthalten in Information systems frontiers Springer US, 1999 14(2011), 3 vom: 22. Jan., Seite 653-668 (DE-627)333991958 (DE-600)2057666-3 (DE-576)444637265 1387-3326 nnns volume:14 year:2011 number:3 day:22 month:01 pages:653-668 https://doi.org/10.1007/s10796-011-9294-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OLC-WIW SSG-OPC-BBI GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4029 AR 14 2011 3 22 01 653-668 |
| spelling |
10.1007/s10796-011-9294-0 doi (DE-627)OLC2034128109 (DE-He213)s10796-011-9294-0-p DE-627 ger DE-627 rakwb eng 070 004 VZ 24,1 3,2 ssgn Lee, Namho verfasserin aut A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. Cognitive Map (CM) Case-Based Reasoning (CBR) Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) Sales opportunity assessment cases Bae, Jae Kwon aut Koo, Chulmo aut Enthalten in Information systems frontiers Springer US, 1999 14(2011), 3 vom: 22. Jan., Seite 653-668 (DE-627)333991958 (DE-600)2057666-3 (DE-576)444637265 1387-3326 nnns volume:14 year:2011 number:3 day:22 month:01 pages:653-668 https://doi.org/10.1007/s10796-011-9294-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OLC-WIW SSG-OPC-BBI GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4029 AR 14 2011 3 22 01 653-668 |
| allfields_unstemmed |
10.1007/s10796-011-9294-0 doi (DE-627)OLC2034128109 (DE-He213)s10796-011-9294-0-p DE-627 ger DE-627 rakwb eng 070 004 VZ 24,1 3,2 ssgn Lee, Namho verfasserin aut A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. Cognitive Map (CM) Case-Based Reasoning (CBR) Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) Sales opportunity assessment cases Bae, Jae Kwon aut Koo, Chulmo aut Enthalten in Information systems frontiers Springer US, 1999 14(2011), 3 vom: 22. Jan., Seite 653-668 (DE-627)333991958 (DE-600)2057666-3 (DE-576)444637265 1387-3326 nnns volume:14 year:2011 number:3 day:22 month:01 pages:653-668 https://doi.org/10.1007/s10796-011-9294-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OLC-WIW SSG-OPC-BBI GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4029 AR 14 2011 3 22 01 653-668 |
| allfieldsGer |
10.1007/s10796-011-9294-0 doi (DE-627)OLC2034128109 (DE-He213)s10796-011-9294-0-p DE-627 ger DE-627 rakwb eng 070 004 VZ 24,1 3,2 ssgn Lee, Namho verfasserin aut A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. Cognitive Map (CM) Case-Based Reasoning (CBR) Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) Sales opportunity assessment cases Bae, Jae Kwon aut Koo, Chulmo aut Enthalten in Information systems frontiers Springer US, 1999 14(2011), 3 vom: 22. Jan., Seite 653-668 (DE-627)333991958 (DE-600)2057666-3 (DE-576)444637265 1387-3326 nnns volume:14 year:2011 number:3 day:22 month:01 pages:653-668 https://doi.org/10.1007/s10796-011-9294-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OLC-WIW SSG-OPC-BBI GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4029 AR 14 2011 3 22 01 653-668 |
| allfieldsSound |
10.1007/s10796-011-9294-0 doi (DE-627)OLC2034128109 (DE-He213)s10796-011-9294-0-p DE-627 ger DE-627 rakwb eng 070 004 VZ 24,1 3,2 ssgn Lee, Namho verfasserin aut A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2011 Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. Cognitive Map (CM) Case-Based Reasoning (CBR) Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) Sales opportunity assessment cases Bae, Jae Kwon aut Koo, Chulmo aut Enthalten in Information systems frontiers Springer US, 1999 14(2011), 3 vom: 22. Jan., Seite 653-668 (DE-627)333991958 (DE-600)2057666-3 (DE-576)444637265 1387-3326 nnns volume:14 year:2011 number:3 day:22 month:01 pages:653-668 https://doi.org/10.1007/s10796-011-9294-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OLC-WIW SSG-OPC-BBI GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4029 AR 14 2011 3 22 01 653-668 |
| language |
English |
| source |
Enthalten in Information systems frontiers 14(2011), 3 vom: 22. Jan., Seite 653-668 volume:14 year:2011 number:3 day:22 month:01 pages:653-668 |
| sourceStr |
Enthalten in Information systems frontiers 14(2011), 3 vom: 22. Jan., Seite 653-668 volume:14 year:2011 number:3 day:22 month:01 pages:653-668 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Cognitive Map (CM) Case-Based Reasoning (CBR) Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) Sales opportunity assessment cases |
| dewey-raw |
070 |
| isfreeaccess_bool |
false |
| container_title |
Information systems frontiers |
| authorswithroles_txt_mv |
Lee, Namho @@aut@@ Bae, Jae Kwon @@aut@@ Koo, Chulmo @@aut@@ |
| publishDateDaySort_date |
2011-01-22T00:00:00Z |
| hierarchy_top_id |
333991958 |
| dewey-sort |
270 |
| id |
OLC2034128109 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2034128109</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503101522.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2011 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10796-011-9294-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2034128109</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10796-011-9294-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">24,1</subfield><subfield code="a">3,2</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lee, Namho</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2011</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cognitive Map (CM)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Case-Based Reasoning (CBR)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sales opportunity assessment cases</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bae, Jae Kwon</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Koo, Chulmo</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Information systems frontiers</subfield><subfield code="d">Springer US, 1999</subfield><subfield code="g">14(2011), 3 vom: 22. Jan., Seite 653-668</subfield><subfield code="w">(DE-627)333991958</subfield><subfield code="w">(DE-600)2057666-3</subfield><subfield code="w">(DE-576)444637265</subfield><subfield code="x">1387-3326</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:14</subfield><subfield code="g">year:2011</subfield><subfield code="g">number:3</subfield><subfield code="g">day:22</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:653-668</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10796-011-9294-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-BUB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-BBI</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4029</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">14</subfield><subfield code="j">2011</subfield><subfield code="e">3</subfield><subfield code="b">22</subfield><subfield code="c">01</subfield><subfield code="h">653-668</subfield></datafield></record></collection>
|
| author |
Lee, Namho |
| spellingShingle |
Lee, Namho ddc 070 ssgn 24,1 misc Cognitive Map (CM) misc Case-Based Reasoning (CBR) misc Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) misc Sales opportunity assessment cases A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment |
| authorStr |
Lee, Namho |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)333991958 |
| format |
Article |
| dewey-ones |
070 - News media, journalism & publishing 004 - Data processing & computer science |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1387-3326 |
| topic_title |
070 004 VZ 24,1 3,2 ssgn A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment Cognitive Map (CM) Case-Based Reasoning (CBR) Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) Sales opportunity assessment cases |
| topic |
ddc 070 ssgn 24,1 misc Cognitive Map (CM) misc Case-Based Reasoning (CBR) misc Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) misc Sales opportunity assessment cases |
| topic_unstemmed |
ddc 070 ssgn 24,1 misc Cognitive Map (CM) misc Case-Based Reasoning (CBR) misc Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) misc Sales opportunity assessment cases |
| topic_browse |
ddc 070 ssgn 24,1 misc Cognitive Map (CM) misc Case-Based Reasoning (CBR) misc Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM) misc Sales opportunity assessment cases |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Information systems frontiers |
| hierarchy_parent_id |
333991958 |
| dewey-tens |
070 - News media, journalism & publishing 000 - Computer science, knowledge & systems |
| hierarchy_top_title |
Information systems frontiers |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)333991958 (DE-600)2057666-3 (DE-576)444637265 |
| title |
A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment |
| ctrlnum |
(DE-627)OLC2034128109 (DE-He213)s10796-011-9294-0-p |
| title_full |
A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment |
| author_sort |
Lee, Namho |
| journal |
Information systems frontiers |
| journalStr |
Information systems frontiers |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
000 - Computer science, information & general works |
| recordtype |
marc |
| publishDateSort |
2011 |
| contenttype_str_mv |
txt |
| container_start_page |
653 |
| author_browse |
Lee, Namho Bae, Jae Kwon Koo, Chulmo |
| container_volume |
14 |
| class |
070 004 VZ 24,1 3,2 ssgn |
| format_se |
Aufsätze |
| author-letter |
Lee, Namho |
| doi_str_mv |
10.1007/s10796-011-9294-0 |
| dewey-full |
070 004 |
| title_sort |
a case-based reasoning based multi-agent cognitive map inference mechanism: an application to sales opportunity assessment |
| title_auth |
A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment |
| abstract |
Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. © Springer Science+Business Media, LLC 2011 |
| abstractGer |
Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. © Springer Science+Business Media, LLC 2011 |
| abstract_unstemmed |
Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support. © Springer Science+Business Media, LLC 2011 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BUB SSG-OLC-MAT SSG-OLC-WIW SSG-OPC-BBI GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4029 |
| container_issue |
3 |
| title_short |
A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment |
| url |
https://doi.org/10.1007/s10796-011-9294-0 |
| remote_bool |
false |
| author2 |
Bae, Jae Kwon Koo, Chulmo |
| author2Str |
Bae, Jae Kwon Koo, Chulmo |
| ppnlink |
333991958 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s10796-011-9294-0 |
| up_date |
2024-07-03T19:43:26.565Z |
| _version_ |
1803588265905750017 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2034128109</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230503101522.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2011 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10796-011-9294-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2034128109</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10796-011-9294-0-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">070</subfield><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">24,1</subfield><subfield code="a">3,2</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lee, Namho</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC 2011</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cognitive Map (CM)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Case-Based Reasoning (CBR)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Case-Based Reasoning based Multi-agent Cognitive Map (CBRMCM)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sales opportunity assessment cases</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bae, Jae Kwon</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Koo, Chulmo</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Information systems frontiers</subfield><subfield code="d">Springer US, 1999</subfield><subfield code="g">14(2011), 3 vom: 22. Jan., Seite 653-668</subfield><subfield code="w">(DE-627)333991958</subfield><subfield code="w">(DE-600)2057666-3</subfield><subfield code="w">(DE-576)444637265</subfield><subfield code="x">1387-3326</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:14</subfield><subfield code="g">year:2011</subfield><subfield code="g">number:3</subfield><subfield code="g">day:22</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:653-668</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s10796-011-9294-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-BUB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-BBI</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4029</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">14</subfield><subfield code="j">2011</subfield><subfield code="e">3</subfield><subfield code="b">22</subfield><subfield code="c">01</subfield><subfield code="h">653-668</subfield></datafield></record></collection>
|
| score |
7.4010506 |