Learning Search Control Knowledge: An Explanation-Based Approach
The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book inves...
Gespeichert in:
1. 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
61 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver's search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate |
Beschreibung: | 1 Online-Ressource (X, 214 p) |
ISBN: | 9781461317036 |
DOI: | 10.1007/978-1-4613-1703-6 |
Internformat
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Minton, Steven |
author_facet | Minton, Steven |
author_role | aut |
author_sort | Minton, Steven |
author_variant | s m sm |
building | Verbundindex |
bvnumber | BV045186375 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-1-4613-1703-6 (OCoLC)1053844659 (DE-599)BVBBV045186375 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4613-1703-6 |
format | Electronic eBook |
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genre_facet | Hochschulschrift |
id | DE-604.BV045186375 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:57Z |
institution | BVB |
isbn | 9781461317036 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030575552 |
oclc_num | 1053844659 |
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owner_facet | DE-634 |
physical | 1 Online-Ressource (X, 214 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 1988 |
publishDateSearch | 1988 |
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publisher | Springer US |
record_format | marc |
series2 | The Kluwer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems |
spelling | Minton, Steven Verfasser aut Learning Search Control Knowledge An Explanation-Based Approach by Steven Minton Boston, MA Springer US 1988 1 Online-Ressource (X, 214 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems 61 The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver's search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Lernen (DE-588)4035408-8 gnd rswk-swf Lernender Automat (DE-588)4167398-0 gnd rswk-swf Problemlösen (DE-588)4076358-4 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Künstliche Intelligenz (DE-588)4033447-8 s Problemlösen (DE-588)4076358-4 s Lernen (DE-588)4035408-8 s 2\p DE-604 Lernender Automat (DE-588)4167398-0 s 3\p DE-604 Erscheint auch als Druck-Ausgabe 9781461289609 https://doi.org/10.1007/978-1-4613-1703-6 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Minton, Steven Learning Search Control Knowledge An Explanation-Based Approach Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Lernen (DE-588)4035408-8 gnd Lernender Automat (DE-588)4167398-0 gnd Problemlösen (DE-588)4076358-4 gnd |
subject_GND | (DE-588)4033447-8 (DE-588)4035408-8 (DE-588)4167398-0 (DE-588)4076358-4 (DE-588)4113937-9 |
title | Learning Search Control Knowledge An Explanation-Based Approach |
title_auth | Learning Search Control Knowledge An Explanation-Based Approach |
title_exact_search | Learning Search Control Knowledge An Explanation-Based Approach |
title_full | Learning Search Control Knowledge An Explanation-Based Approach by Steven Minton |
title_fullStr | Learning Search Control Knowledge An Explanation-Based Approach by Steven Minton |
title_full_unstemmed | Learning Search Control Knowledge An Explanation-Based Approach by Steven Minton |
title_short | Learning Search Control Knowledge |
title_sort | learning search control knowledge an explanation based approach |
title_sub | An Explanation-Based Approach |
topic | Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Lernen (DE-588)4035408-8 gnd Lernender Automat (DE-588)4167398-0 gnd Problemlösen (DE-588)4076358-4 gnd |
topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Computer science Artificial intelligence Künstliche Intelligenz Lernen Lernender Automat Problemlösen Hochschulschrift |
url | https://doi.org/10.1007/978-1-4613-1703-6 |
work_keys_str_mv | AT mintonsteven learningsearchcontrolknowledgeanexplanationbasedapproach |