Truth from trash how learning makes sense
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Cambridge, MA
MIT Press
©2000
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| Schriftenreihe: | Complex adaptive systems
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| 245 | 1 | 0 | |a Truth from trash |b how learning makes sense |c Chris Thornton |
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| 490 | 0 | |a Complex adaptive systems | |
| 500 | |a Includes bibliographical references (pages 199-201) and index | ||
| 500 | |a Preface -- - 1 - The Machine That Could Learn Anything -- - 2 - Consider Thy Neighbor -- - 3 - Kepler on Mars -- - 4 - The Information Chicane -- - 5 - Fence-and-Fill Learning -- - 6 - Turing and the Submarines -- - 7 - The Relational Gulf -- - 8 - The Supercharged Learner -- - 9 - David Hume and the Crash of '87 -- - 10 - Phases of Compression -- - 11 - Protorepresentational Learning -- - 12 - The Creativity Continuum -- - References -- - Index | ||
| 500 | |a This study of learning in autonomous agents offers a bracing intellectual adventure. Chris Thornton makes the compelling claim that learning is not a passive discovery operation but an active process involving creativity on the part of the learner. Although theorists of machine learning tell us that all learning methods contribute some form of bias and thus involve a degree of creativity, Thornton carries the idea much further. He describes an incremental process, recursive relational learning, in which the results of one learning step serve as the basis for the next. Very high-level recodings are then substantially the creative artifacts of the learner's own processing. Lower-level recodings are more "objective" in that their properties are more severely constrained by the source data. Thornton sees consciousness as a process at the outer fringe of relational learning, just prior to the onset of creativity. According to this view, we cannot assume consciousness to be an exclusively human phenomenon, but rather the expected feature of any cognitive mechanism able to engage in extended flights of relational learning. Thornton presents key background material in an entertaining manner, using extensive mental imagery and a minimum of mathematics. Anecdotes and dialogue add to the text's informality | ||
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Thornton, Christopher James |
| author_facet | Thornton, Christopher James |
| author_role | aut |
| author_sort | Thornton, Christopher James |
| author_variant | c j t cj cjt |
| building | Verbundindex |
| bvnumber | BV042963541 |
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| ctrlnum | (OCoLC)45729198 (DE-599)BVBBV042963541 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| series2 | Complex adaptive systems |
| spelling | Thornton, Christopher James Verfasser aut Truth from trash how learning makes sense Chris Thornton Cambridge, MA MIT Press ©2000 1 Online-Ressource (x, 204 pages) txt rdacontent c rdamedia cr rdacarrier Complex adaptive systems Includes bibliographical references (pages 199-201) and index Preface -- - 1 - The Machine That Could Learn Anything -- - 2 - Consider Thy Neighbor -- - 3 - Kepler on Mars -- - 4 - The Information Chicane -- - 5 - Fence-and-Fill Learning -- - 6 - Turing and the Submarines -- - 7 - The Relational Gulf -- - 8 - The Supercharged Learner -- - 9 - David Hume and the Crash of '87 -- - 10 - Phases of Compression -- - 11 - Protorepresentational Learning -- - 12 - The Creativity Continuum -- - References -- - Index This study of learning in autonomous agents offers a bracing intellectual adventure. Chris Thornton makes the compelling claim that learning is not a passive discovery operation but an active process involving creativity on the part of the learner. Although theorists of machine learning tell us that all learning methods contribute some form of bias and thus involve a degree of creativity, Thornton carries the idea much further. He describes an incremental process, recursive relational learning, in which the results of one learning step serve as the basis for the next. Very high-level recodings are then substantially the creative artifacts of the learner's own processing. Lower-level recodings are more "objective" in that their properties are more severely constrained by the source data. Thornton sees consciousness as a process at the outer fringe of relational learning, just prior to the onset of creativity. According to this view, we cannot assume consciousness to be an exclusively human phenomenon, but rather the expected feature of any cognitive mechanism able to engage in extended flights of relational learning. Thornton presents key background material in an entertaining manner, using extensive mental imagery and a minimum of mathematics. Anecdotes and dialogue add to the text's informality COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Machine learning fast Leren gtt Aanpassing gtt Bewustzijn gtt Leerprocessen gtt Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s 1\p DE-604 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=32640 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Thornton, Christopher James Truth from trash how learning makes sense COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Machine learning fast Leren gtt Aanpassing gtt Bewustzijn gtt Leerprocessen gtt Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4193754-5 |
| title | Truth from trash how learning makes sense |
| title_auth | Truth from trash how learning makes sense |
| title_exact_search | Truth from trash how learning makes sense |
| title_full | Truth from trash how learning makes sense Chris Thornton |
| title_fullStr | Truth from trash how learning makes sense Chris Thornton |
| title_full_unstemmed | Truth from trash how learning makes sense Chris Thornton |
| title_short | Truth from trash |
| title_sort | truth from trash how learning makes sense |
| title_sub | how learning makes sense |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Machine learning fast Leren gtt Aanpassing gtt Bewustzijn gtt Leerprocessen gtt Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Machine learning Leren Aanpassing Bewustzijn Leerprocessen Maschinelles Lernen |
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