Automating Knowledge Acquisition for Expert Systems:
In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems. In the last five years, we have developed several tools under the pressure and influence of building expert systems for business and industr...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1988
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| Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems
57 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems. In the last five years, we have developed several tools under the pressure and influence of building expert systems for business and industry. These tools include the five described in chapters 2 through 6 - MORE, MOLE, SALT, KNACK and SIZZLE. One experiment, conducted jointly by developers at Digital Equipment Corporation, the Soar research group at Carnegie Mellon, and members of our group, explored automation of knowledge acquisition and code development for XCON (also known as R1), a production-level expert system for configuring DEC computer systems. This work influenced the development of RIME, a programming methodology developed at Digital which is the subject of chapter 7. This book describes the principles that guided our work, looks in detail at the design and operation of each tool or methodology, and reports some lessons learned from the enterprise. of the work, brought out in the introductory chapter, is A common theme that much power can be gained by understanding the roles that domain knowledge plays in problem solving. Each tool can exploit such an understanding because it focuses on a well defined problem-solving method used by the expert systems it builds. Each tool chapter describes the basic problem-solving method assumed by the tool and the leverage provided by committing to the method |
| Beschreibung: | 1 Online-Ressource (288 p) |
| ISBN: | 9781468471229 |
| DOI: | 10.1007/978-1-4684-7122-9 |
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| 520 | |a In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems. In the last five years, we have developed several tools under the pressure and influence of building expert systems for business and industry. These tools include the five described in chapters 2 through 6 - MORE, MOLE, SALT, KNACK and SIZZLE. One experiment, conducted jointly by developers at Digital Equipment Corporation, the Soar research group at Carnegie Mellon, and members of our group, explored automation of knowledge acquisition and code development for XCON (also known as R1), a production-level expert system for configuring DEC computer systems. This work influenced the development of RIME, a programming methodology developed at Digital which is the subject of chapter 7. This book describes the principles that guided our work, looks in detail at the design and operation of each tool or methodology, and reports some lessons learned from the enterprise. of the work, brought out in the introductory chapter, is A common theme that much power can be gained by understanding the roles that domain knowledge plays in problem solving. Each tool can exploit such an understanding because it focuses on a well defined problem-solving method used by the expert systems it builds. Each tool chapter describes the basic problem-solving method assumed by the tool and the leverage provided by committing to the method | ||
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| discipline | Informatik |
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| id | DE-604.BV045186007 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:56Z |
| institution | BVB |
| isbn | 9781468471229 |
| language | English |
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| physical | 1 Online-Ressource (288 p) |
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| publishDate | 1988 |
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| series2 | The Kluwer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems |
| spelling | Automating Knowledge Acquisition for Expert Systems edited by Sandra Marcus Boston, MA Springer US 1988 1 Online-Ressource (288 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems 57 In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems. In the last five years, we have developed several tools under the pressure and influence of building expert systems for business and industry. These tools include the five described in chapters 2 through 6 - MORE, MOLE, SALT, KNACK and SIZZLE. One experiment, conducted jointly by developers at Digital Equipment Corporation, the Soar research group at Carnegie Mellon, and members of our group, explored automation of knowledge acquisition and code development for XCON (also known as R1), a production-level expert system for configuring DEC computer systems. This work influenced the development of RIME, a programming methodology developed at Digital which is the subject of chapter 7. This book describes the principles that guided our work, looks in detail at the design and operation of each tool or methodology, and reports some lessons learned from the enterprise. of the work, brought out in the introductory chapter, is A common theme that much power can be gained by understanding the roles that domain knowledge plays in problem solving. Each tool can exploit such an understanding because it focuses on a well defined problem-solving method used by the expert systems it builds. Each tool chapter describes the basic problem-solving method assumed by the tool and the leverage provided by committing to the method Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Expertensystem (DE-588)4113491-6 gnd rswk-swf Wissenserwerb (DE-588)4241169-5 gnd rswk-swf Wissenserwerb (DE-588)4241169-5 s Expertensystem (DE-588)4113491-6 s 1\p DE-604 Marcus, Sandra edt Erscheint auch als Druck-Ausgabe 9781468471243 https://doi.org/10.1007/978-1-4684-7122-9 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Automating Knowledge Acquisition for Expert Systems Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Expertensystem (DE-588)4113491-6 gnd Wissenserwerb (DE-588)4241169-5 gnd |
| subject_GND | (DE-588)4113491-6 (DE-588)4241169-5 |
| title | Automating Knowledge Acquisition for Expert Systems |
| title_auth | Automating Knowledge Acquisition for Expert Systems |
| title_exact_search | Automating Knowledge Acquisition for Expert Systems |
| title_full | Automating Knowledge Acquisition for Expert Systems edited by Sandra Marcus |
| title_fullStr | Automating Knowledge Acquisition for Expert Systems edited by Sandra Marcus |
| title_full_unstemmed | Automating Knowledge Acquisition for Expert Systems edited by Sandra Marcus |
| title_short | Automating Knowledge Acquisition for Expert Systems |
| title_sort | automating knowledge acquisition for expert systems |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Expertensystem (DE-588)4113491-6 gnd Wissenserwerb (DE-588)4241169-5 gnd |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Expertensystem Wissenserwerb |
| url | https://doi.org/10.1007/978-1-4684-7122-9 |
| work_keys_str_mv | AT marcussandra automatingknowledgeacquisitionforexpertsystems |