Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems
Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yaner, Patrick W. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2006 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science + Business Media, LLC 2006 |
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| Übergeordnetes Werk: |
Enthalten in: Applied intelligence - Kluwer Academic Publishers, 1991, 25(2006), 1 vom: Aug., Seite 91-105 |
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| Übergeordnetes Werk: |
volume:25 ; year:2006 ; number:1 ; month:08 ; pages:91-105 |
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| DOI / URN: |
10.1007/s10489-006-8868-x |
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OLC2066094072 |
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| 520 | |a Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. | ||
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10.1007/s10489-006-8868-x doi (DE-627)OLC2066094072 (DE-He213)s10489-006-8868-x-p DE-627 ger DE-627 rakwb eng 004 VZ Yaner, Patrick W. verfasserin aut Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science + Business Media, LLC 2006 Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. Analogical reasoning Visual reasoning Constraint satisfaction Analogical retrieval Analogical mapping Goel, Ashok K. aut Enthalten in Applied intelligence Kluwer Academic Publishers, 1991 25(2006), 1 vom: Aug., Seite 91-105 (DE-627)130990515 (DE-600)1080229-0 (DE-576)029154286 0924-669X nnns volume:25 year:2006 number:1 month:08 pages:91-105 https://doi.org/10.1007/s10489-006-8868-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2020 AR 25 2006 1 08 91-105 |
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10.1007/s10489-006-8868-x doi (DE-627)OLC2066094072 (DE-He213)s10489-006-8868-x-p DE-627 ger DE-627 rakwb eng 004 VZ Yaner, Patrick W. verfasserin aut Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science + Business Media, LLC 2006 Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. Analogical reasoning Visual reasoning Constraint satisfaction Analogical retrieval Analogical mapping Goel, Ashok K. aut Enthalten in Applied intelligence Kluwer Academic Publishers, 1991 25(2006), 1 vom: Aug., Seite 91-105 (DE-627)130990515 (DE-600)1080229-0 (DE-576)029154286 0924-669X nnns volume:25 year:2006 number:1 month:08 pages:91-105 https://doi.org/10.1007/s10489-006-8868-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2020 AR 25 2006 1 08 91-105 |
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10.1007/s10489-006-8868-x doi (DE-627)OLC2066094072 (DE-He213)s10489-006-8868-x-p DE-627 ger DE-627 rakwb eng 004 VZ Yaner, Patrick W. verfasserin aut Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science + Business Media, LLC 2006 Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. Analogical reasoning Visual reasoning Constraint satisfaction Analogical retrieval Analogical mapping Goel, Ashok K. aut Enthalten in Applied intelligence Kluwer Academic Publishers, 1991 25(2006), 1 vom: Aug., Seite 91-105 (DE-627)130990515 (DE-600)1080229-0 (DE-576)029154286 0924-669X nnns volume:25 year:2006 number:1 month:08 pages:91-105 https://doi.org/10.1007/s10489-006-8868-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2020 AR 25 2006 1 08 91-105 |
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10.1007/s10489-006-8868-x doi (DE-627)OLC2066094072 (DE-He213)s10489-006-8868-x-p DE-627 ger DE-627 rakwb eng 004 VZ Yaner, Patrick W. verfasserin aut Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems 2006 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science + Business Media, LLC 2006 Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. Analogical reasoning Visual reasoning Constraint satisfaction Analogical retrieval Analogical mapping Goel, Ashok K. aut Enthalten in Applied intelligence Kluwer Academic Publishers, 1991 25(2006), 1 vom: Aug., Seite 91-105 (DE-627)130990515 (DE-600)1080229-0 (DE-576)029154286 0924-669X nnns volume:25 year:2006 number:1 month:08 pages:91-105 https://doi.org/10.1007/s10489-006-8868-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_130 GBV_ILN_2005 GBV_ILN_2020 AR 25 2006 1 08 91-105 |
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Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. © Springer Science + Business Media, LLC 2006 |
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Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. © Springer Science + Business Media, LLC 2006 |
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Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. Results in the domain of 2D line drawings suggest that at least for this domain the above method is quite promising. © Springer Science + Business Media, LLC 2006 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2066094072</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502204846.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2006 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10489-006-8868-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2066094072</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10489-006-8868-x-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">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yaner, Patrick W.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Visual analogy: Viewing analogical retrieval and mapping as constraint satisfaction problems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2006</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 2006</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The core issue of analogical reasoning is the transfer of relational knowledge from a source case to a target problem. Visual analogical reasoning pertains to problems containing only visual knowledge. Holyoak and Thagard proposed that the retrieval and mapping tasks of analogy in general can be productively viewed as constraint satisfaction problems, and provided connectionist implementations of their proposal. In this paper, we reexamine the retrieval and mapping tasks of analogy in the context of diagrammatic cases, representing the spatial structure of source and target diagrams as semantic networks in which the nodes represent spatial elements and the links represent spatial relations. We use a method of constraint satisfaction with backtracking for the retrieval and mapping tasks, with subgraph isomorphism over a particular domain language as the similarity measure. 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