A System for Representing and Using Real-World Knowledge
This report describes a knowledge-base system in which the information is stored in a network of small parallel processing elements ??de and link units ??ich are controlled by an external serial computer. This network is similar to the semantic network system of Quillian, but is much more tigh...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6888 |
| _version_ | 1811086176007749632 |
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| author | Fahlman, Scott E. |
| author_facet | Fahlman, Scott E. |
| author_sort | Fahlman, Scott E. |
| collection | MIT |
| description | This report describes a knowledge-base system in which the information is stored in a network of small parallel processing elements ??de and link units ??ich are controlled by an external serial computer. This network is similar to the semantic network system of Quillian, but is much more tightly controlled. Such a network can perform certain critical deductions and searches very quickly; it avoids many of the problems of current systems, which must use complex heuristics to limit and guided their searches. It is argued (with examples) that the key operation in a knowledge-base system is the intersection of large explicit and semi-explicit sets. The parallel network system does this in a small, essentially constant number of cycles; a serial machine takes time proportional to the size of the sets, except in special cases. |
| first_indexed | 2024-09-23T13:22:00Z |
| id | mit-1721.1/6888 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:22:00Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/68882019-04-12T08:32:48Z A System for Representing and Using Real-World Knowledge Fahlman, Scott E. This report describes a knowledge-base system in which the information is stored in a network of small parallel processing elements ??de and link units ??ich are controlled by an external serial computer. This network is similar to the semantic network system of Quillian, but is much more tightly controlled. Such a network can perform certain critical deductions and searches very quickly; it avoids many of the problems of current systems, which must use complex heuristics to limit and guided their searches. It is argued (with examples) that the key operation in a knowledge-base system is the intersection of large explicit and semi-explicit sets. The parallel network system does this in a small, essentially constant number of cycles; a serial machine takes time proportional to the size of the sets, except in special cases. 2004-10-20T20:04:34Z 2004-10-20T20:04:34Z 1977-12-01 AITR-450 http://hdl.handle.net/1721.1/6888 en_US AITR-450 195 p. 25854088 bytes 20387337 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | Fahlman, Scott E. A System for Representing and Using Real-World Knowledge |
| title | A System for Representing and Using Real-World Knowledge |
| title_full | A System for Representing and Using Real-World Knowledge |
| title_fullStr | A System for Representing and Using Real-World Knowledge |
| title_full_unstemmed | A System for Representing and Using Real-World Knowledge |
| title_short | A System for Representing and Using Real-World Knowledge |
| title_sort | system for representing and using real world knowledge |
| url | http://hdl.handle.net/1721.1/6888 |
| work_keys_str_mv | AT fahlmanscotte asystemforrepresentingandusingrealworldknowledge AT fahlmanscotte systemforrepresentingandusingrealworldknowledge |