Systematic introduction to expert systems: knowledge representations and problem solving methods
At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods are available for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - E...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
1993
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Schlagworte: | |
Zusammenfassung: | At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods are available for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard to the identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation. |
Beschreibung: | XII, 352 S. graph. Darst. |
ISBN: | 3540562559 0387562559 |
Internformat
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520 | |a At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods are available for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard to the identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation. | ||
650 | 4 | |a Expert systems (Computer science) | |
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Datensatz im Suchindex
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any_adam_object | |
author | Puppe, Frank |
author_facet | Puppe, Frank |
author_role | aut |
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bvnumber | BV006193797 |
callnumber-first | Q - Science |
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callnumber-raw | QA76.76.E95P87 1993 |
callnumber-search | QA76.76.E95P87 1993 |
callnumber-sort | QA 276.76 E95 P87 41993 |
callnumber-subject | QA - Mathematics |
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classification_tum | DAT 703f |
ctrlnum | (OCoLC)263233626 (DE-599)BVBBV006193797 |
dewey-full | 006.3/320 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/3 20 |
dewey-search | 006.3/3 20 |
dewey-sort | 16.3 13 220 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Book |
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id | DE-604.BV006193797 |
illustrated | Illustrated |
indexdate | 2024-07-09T16:41:39Z |
institution | BVB |
isbn | 3540562559 0387562559 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-003910401 |
oclc_num | 263233626 |
open_access_boolean | |
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owner_facet | DE-739 DE-20 DE-91G DE-BY-TUM DE-29T DE-858 DE-521 DE-522 DE-83 DE-525 DE-188 DE-11 |
physical | XII, 352 S. graph. Darst. |
publishDate | 1993 |
publishDateSearch | 1993 |
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publisher | Springer |
record_format | marc |
spelling | Puppe, Frank Verfasser aut Systematic introduction to expert systems knowledge representations and problem solving methods Frank Puppe Berlin [u.a.] Springer 1993 XII, 352 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods are available for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard to the identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation. Expert systems (Computer science) Expertensystem (DE-588)4113491-6 gnd rswk-swf Expertensystem (DE-588)4113491-6 s DE-604 |
spellingShingle | Puppe, Frank Systematic introduction to expert systems knowledge representations and problem solving methods Expert systems (Computer science) Expertensystem (DE-588)4113491-6 gnd |
subject_GND | (DE-588)4113491-6 |
title | Systematic introduction to expert systems knowledge representations and problem solving methods |
title_auth | Systematic introduction to expert systems knowledge representations and problem solving methods |
title_exact_search | Systematic introduction to expert systems knowledge representations and problem solving methods |
title_full | Systematic introduction to expert systems knowledge representations and problem solving methods Frank Puppe |
title_fullStr | Systematic introduction to expert systems knowledge representations and problem solving methods Frank Puppe |
title_full_unstemmed | Systematic introduction to expert systems knowledge representations and problem solving methods Frank Puppe |
title_short | Systematic introduction to expert systems |
title_sort | systematic introduction to expert systems knowledge representations and problem solving methods |
title_sub | knowledge representations and problem solving methods |
topic | Expert systems (Computer science) Expertensystem (DE-588)4113491-6 gnd |
topic_facet | Expert systems (Computer science) Expertensystem |
work_keys_str_mv | AT puppefrank systematicintroductiontoexpertsystemsknowledgerepresentationsandproblemsolvingmethods |