Truth from trash :: how learning makes sense /
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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, MA :
MIT Press,
©2000.
©2000 |
| Schriftenreihe: | Complex adaptive systems.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 online resource (x, 204 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 199-201) and index. |
| ISBN: | 0585263809 9780585263809 9780262201278 0262201275 0262700875 9780262700870 9780262284981 0262284987 |
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| 505 | 0 | 0 | |t Preface -- |g 1. |t The Machine That Could Learn Anything -- |g 2. |t Consider Thy Neighbor -- |g 3. |t Kepler on Mars -- |g 4. |t The Information Chicane -- |g 5. |t Fence-and-Fill Learning -- |g 6. |t Turing and the Submarines -- |g 7. |t The Relational Gulf -- |g 8. |t The Supercharged Learner -- |g 9. |t David Hume and the Crash of '87 -- |g 10. |t Phases of Compression -- |g 11. |t Protorepresentational Learning -- |g 12. |t The Creativity Continuum -- |t References -- |t Index. |
| 520 | 8 | |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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| author | Thornton, Christopher James |
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| contents | Preface -- The Machine That Could Learn Anything -- Consider Thy Neighbor -- Kepler on Mars -- The Information Chicane -- Fence-and-Fill Learning -- Turing and the Submarines -- The Relational Gulf -- The Supercharged Learner -- David Hume and the Crash of '87 -- Phases of Compression -- Protorepresentational Learning -- The Creativity Continuum -- References -- Index. |
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| dewey-sort | 16.3 11 |
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| discipline | Informatik |
| format | Electronic eBook |
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ind1="1" ind2=" "><subfield code="a">Complex adaptive systems</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 199-201) and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Preface --</subfield><subfield code="g">1.</subfield><subfield code="t">The Machine That Could Learn Anything --</subfield><subfield code="g">2.</subfield><subfield code="t">Consider Thy Neighbor --</subfield><subfield code="g">3.</subfield><subfield code="t">Kepler on Mars --</subfield><subfield code="g">4.</subfield><subfield code="t">The Information Chicane --</subfield><subfield code="g">5.</subfield><subfield code="t">Fence-and-Fill Learning --</subfield><subfield code="g">6.</subfield><subfield code="t">Turing and the Submarines --</subfield><subfield code="g">7.</subfield><subfield code="t">The Relational Gulf --</subfield><subfield code="g">8.</subfield><subfield code="t">The Supercharged Learner --</subfield><subfield code="g">9.</subfield><subfield code="t">David Hume and the Crash of '87 --</subfield><subfield code="g">10.</subfield><subfield code="t">Phases of Compression --</subfield><subfield code="g">11.</subfield><subfield code="t">Protorepresentational Learning --</subfield><subfield code="g">12.</subfield><subfield code="t">The Creativity Continuum --</subfield><subfield code="t">References --</subfield><subfield code="t">Index.</subfield></datafield><datafield tag="520" ind1="8" ind2=" "><subfield code="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. 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| id | ZDB-4-EBU-ocm45729198 |
| illustrated | Illustrated |
| indexdate | 2024-11-26T14:48:55Z |
| institution | BVB |
| isbn | 0585263809 9780585263809 9780262201278 0262201275 0262700875 9780262700870 9780262284981 0262284987 |
| language | English |
| oclc_num | 45729198 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (x, 204 pages) : illustrations |
| psigel | ZDB-4-EBU |
| publishDate | 2000 |
| publishDateSearch | 2000 |
| publishDateSort | 2000 |
| publisher | MIT Press, |
| record_format | marc |
| series | Complex adaptive systems. |
| series2 | Complex adaptive systems |
| spelling | Thornton, Christopher James. http://id.loc.gov/authorities/names/n92058118 Truth from trash : how learning makes sense / Chris Thornton. Cambridge, MA : MIT Press, ©2000. ©2000 1 online resource (x, 204 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft Complex adaptive systems Includes bibliographical references (pages 199-201) and index. Print version record. 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 English. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Machine learning fast Maschinelles Lernen gnd Leren. gtt Aanpassing. gtt Bewustzijn. gtt Leerprocessen. gtt INTELIGÊNCIA ARTIFICIAL. larpcal APRENDIZADO COMPUTACIONAL. larpcal has work: Truth from trash (Text) https://id.oclc.org/worldcat/entity/E39PCFDT8FDMFkHyKTmdyjDbcX https://id.oclc.org/worldcat/ontology/hasWork Print version: Thornton, Christopher James. Truth from trash. Cambridge, MA : MIT Press, ©2000 0262201275 (DLC) 99016505 (OCoLC)41540133 Complex adaptive systems. http://id.loc.gov/authorities/names/n91106275 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=32640 Volltext |
| spellingShingle | Thornton, Christopher James Truth from trash : how learning makes sense / Complex adaptive systems. Preface -- The Machine That Could Learn Anything -- Consider Thy Neighbor -- Kepler on Mars -- The Information Chicane -- Fence-and-Fill Learning -- Turing and the Submarines -- The Relational Gulf -- The Supercharged Learner -- David Hume and the Crash of '87 -- Phases of Compression -- Protorepresentational Learning -- The Creativity Continuum -- References -- Index. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Machine learning fast Maschinelles Lernen gnd Leren. gtt Aanpassing. gtt Bewustzijn. gtt Leerprocessen. gtt INTELIGÊNCIA ARTIFICIAL. larpcal APRENDIZADO COMPUTACIONAL. larpcal |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 |
| title | Truth from trash : how learning makes sense / |
| title_alt | Preface -- The Machine That Could Learn Anything -- Consider Thy Neighbor -- Kepler on Mars -- The Information Chicane -- Fence-and-Fill Learning -- Turing and the Submarines -- The Relational Gulf -- The Supercharged Learner -- David Hume and the Crash of '87 -- Phases of Compression -- Protorepresentational Learning -- The Creativity Continuum -- References -- Index. |
| 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 | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. COMPUTERS Enterprise Applications Business Intelligence Tools. bisacsh COMPUTERS Intelligence (AI) & Semantics. bisacsh Machine learning fast Maschinelles Lernen gnd Leren. gtt Aanpassing. gtt Bewustzijn. gtt Leerprocessen. gtt INTELIGÊNCIA ARTIFICIAL. larpcal APRENDIZADO COMPUTACIONAL. larpcal |
| topic_facet | Machine learning. Apprentissage automatique. COMPUTERS Enterprise Applications Business Intelligence Tools. COMPUTERS Intelligence (AI) & Semantics. Machine learning Maschinelles Lernen Leren. Aanpassing. Bewustzijn. Leerprocessen. INTELIGÊNCIA ARTIFICIAL. APRENDIZADO COMPUTACIONAL. |
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| work_keys_str_mv | AT thorntonchristopherjames truthfromtrashhowlearningmakessense |