An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system:
Abstract: "The relationship between symbolism and connectionism has been one of the major issues in recent Artificial Intelligence research. An increasing number of researchers from each side have tried to adopt desirable characteristics of the other. A major open question in this field is the...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1995
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| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
732 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: "The relationship between symbolism and connectionism has been one of the major issues in recent Artificial Intelligence research. An increasing number of researchers from each side have tried to adopt desirable characteristics of the other. A major open question in this field is the extent to which a connectionist architecture can accommodate basic concepts of symbolic inference, such as a dynamic variable binding mechanism and a rule and fact encoding mechanism involving n-ary predicates. One of the current leaders in this area is the connectionist rule-based system proposed by Shastri and Ajjanagadde. We demonstrate that the mechanism for variable binding which they advocate is fundamentally limited and show how a reinterpretation of the primitive components and corresponding modifications of their system can extend the range of inference which can be supported. Our extension hinges on the basic structural modification of the network components and further modifications of the rule and fact encoding mechanism. These modifications allow the extended model to have more expressive power in dealing with symbolic knowledge such as unification of terms across many groups of unifying arguments." |
| Beschreibung: | 26 S. |
Internformat
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| 264 | 1 | |a Edinburgh |c 1995 | |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 732 | |
| 520 | 3 | |a Abstract: "The relationship between symbolism and connectionism has been one of the major issues in recent Artificial Intelligence research. An increasing number of researchers from each side have tried to adopt desirable characteristics of the other. A major open question in this field is the extent to which a connectionist architecture can accommodate basic concepts of symbolic inference, such as a dynamic variable binding mechanism and a rule and fact encoding mechanism involving n-ary predicates. One of the current leaders in this area is the connectionist rule-based system proposed by Shastri and Ajjanagadde. We demonstrate that the mechanism for variable binding which they advocate is fundamentally limited and show how a reinterpretation of the primitive components and corresponding modifications of their system can extend the range of inference which can be supported. Our extension hinges on the basic structural modification of the network components and further modifications of the rule and fact encoding mechanism. These modifications allow the extended model to have more expressive power in dealing with symbolic knowledge such as unification of terms across many groups of unifying arguments." | |
| 650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
| 650 | 7 | |a Computer software |2 sigle | |
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Connectionism | |
| 650 | 4 | |a Inference | |
| 650 | 4 | |a Reasoning | |
| 700 | 1 | |a Robertson, Dave |e Verfasser |4 aut | |
| 700 | 1 | |a Stenning, Keith |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 732 |w (DE-604)BV010450646 |9 732 | |
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Datensatz im Suchindex
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| author | Park, Nam Seog Robertson, Dave Stenning, Keith |
| author_facet | Park, Nam Seog Robertson, Dave Stenning, Keith |
| author_role | aut aut aut |
| author_sort | Park, Nam Seog |
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| bvnumber | BV011043470 |
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| id | DE-604.BV011043470 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:03:04Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007394780 |
| oclc_num | 34847586 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | 26 S. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Park, Nam Seog Verfasser aut An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system Park, N. S. ; Robertson, D. ; Stenning, K. Edinburgh 1995 26 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 732 Abstract: "The relationship between symbolism and connectionism has been one of the major issues in recent Artificial Intelligence research. An increasing number of researchers from each side have tried to adopt desirable characteristics of the other. A major open question in this field is the extent to which a connectionist architecture can accommodate basic concepts of symbolic inference, such as a dynamic variable binding mechanism and a rule and fact encoding mechanism involving n-ary predicates. One of the current leaders in this area is the connectionist rule-based system proposed by Shastri and Ajjanagadde. We demonstrate that the mechanism for variable binding which they advocate is fundamentally limited and show how a reinterpretation of the primitive components and corresponding modifications of their system can extend the range of inference which can be supported. Our extension hinges on the basic structural modification of the network components and further modifications of the rule and fact encoding mechanism. These modifications allow the extended model to have more expressive power in dealing with symbolic knowledge such as unification of terms across many groups of unifying arguments." Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence Connectionism Inference Reasoning Robertson, Dave Verfasser aut Stenning, Keith Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 732 (DE-604)BV010450646 732 |
| spellingShingle | Park, Nam Seog Robertson, Dave Stenning, Keith An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence Connectionism Inference Reasoning |
| title | An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system |
| title_auth | An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system |
| title_exact_search | An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system |
| title_full | An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system Park, N. S. ; Robertson, D. ; Stenning, K. |
| title_fullStr | An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system Park, N. S. ; Robertson, D. ; Stenning, K. |
| title_full_unstemmed | An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system Park, N. S. ; Robertson, D. ; Stenning, K. |
| title_short | An extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system |
| title_sort | an extension of the temporal synchrony approach to dynamic variable binding in a connectionist inference system |
| topic | Bionics and artificial intelligence sigle Computer software sigle Künstliche Intelligenz Artificial intelligence Connectionism Inference Reasoning |
| topic_facet | Bionics and artificial intelligence Computer software Künstliche Intelligenz Artificial intelligence Connectionism Inference Reasoning |
| volume_link | (DE-604)BV010450646 |
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