The probabilistic foundations of rational learning:
According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner'...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2017
|
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBG01 Volltext |
| Zusammenfassung: | According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffrey's 'radical probabilism'. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes' rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 24 Oct 2017) |
| Beschreibung: | 1 online resource (xiii, 224 pages) |
| ISBN: | 9781316335789 |
| DOI: | 10.1017/9781316335789 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV044727870 | ||
| 003 | DE-604 | ||
| 005 | 20231212 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 180124s2017 |||| o||u| ||||||eng d | ||
| 020 | |a 9781316335789 |c Online |9 978-1-316-33578-9 | ||
| 024 | 7 | |a 10.1017/9781316335789 |2 doi | |
| 035 | |a (ZDB-20-CBO)CR9781316335789 | ||
| 035 | |a (OCoLC)1020585705 | ||
| 035 | |a (DE-599)BVBBV044727870 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-92 |a DE-12 |a DE-473 | ||
| 082 | 0 | |a 370.1 |2 23 | |
| 100 | 1 | |a Huttegger, Simon M. |d 1976- |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a The probabilistic foundations of rational learning |c Simon M. Huttegger |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2017 | |
| 300 | |a 1 online resource (xiii, 224 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Title from publisher's bibliographic system (viewed on 24 Oct 2017) | ||
| 520 | |a According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffrey's 'radical probabilism'. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes' rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences | ||
| 650 | 4 | |a Learning |x Philosophy | |
| 650 | 4 | |a Reasoning (Psychology) | |
| 650 | 4 | |a Probabilism | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781107115323 |
| 856 | 4 | 0 | |u https://doi.org/10.1017/9781316335789 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-20-CBO | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030123994 | ||
| 966 | e | |u https://doi.org/10.1017/9781316335789 |l BSB01 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/9781316335789 |l FHN01 |p ZDB-20-CBO |q FHN_PDA_CBO_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1017/9781316335789 |l UBG01 |p ZDB-20-CBO |q UBG_PDA_CBO |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804178221171736576 |
|---|---|
| any_adam_object | |
| author | Huttegger, Simon M. 1976- |
| author_facet | Huttegger, Simon M. 1976- |
| author_role | aut |
| author_sort | Huttegger, Simon M. 1976- |
| author_variant | s m h sm smh |
| building | Verbundindex |
| bvnumber | BV044727870 |
| collection | ZDB-20-CBO |
| ctrlnum | (ZDB-20-CBO)CR9781316335789 (OCoLC)1020585705 (DE-599)BVBBV044727870 |
| dewey-full | 370.1 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 370 - Education |
| dewey-raw | 370.1 |
| dewey-search | 370.1 |
| dewey-sort | 3370.1 |
| dewey-tens | 370 - Education |
| discipline | Pädagogik |
| doi_str_mv | 10.1017/9781316335789 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02639nmm a2200421zc 4500</leader><controlfield tag="001">BV044727870</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20231212 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">180124s2017 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781316335789</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-316-33578-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/9781316335789</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9781316335789</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1020585705</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044727870</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-92</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-473</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">370.1</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Huttegger, Simon M.</subfield><subfield code="d">1976-</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The probabilistic foundations of rational learning</subfield><subfield code="c">Simon M. Huttegger</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xiii, 224 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Title from publisher's bibliographic system (viewed on 24 Oct 2017)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffrey's 'radical probabilism'. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes' rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Learning</subfield><subfield code="x">Philosophy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reasoning (Psychology)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Probabilism</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781107115323</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/9781316335789</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030123994</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781316335789</subfield><subfield code="l">BSB01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781316335789</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/9781316335789</subfield><subfield code="l">UBG01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">UBG_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV044727870 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:00:31Z |
| institution | BVB |
| isbn | 9781316335789 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030123994 |
| oclc_num | 1020585705 |
| open_access_boolean | |
| owner | DE-92 DE-12 DE-473 DE-BY-UBG |
| owner_facet | DE-92 DE-12 DE-473 DE-BY-UBG |
| physical | 1 online resource (xiii, 224 pages) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO_Kauf ZDB-20-CBO UBG_PDA_CBO |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Huttegger, Simon M. 1976- Verfasser aut The probabilistic foundations of rational learning Simon M. Huttegger Cambridge Cambridge University Press 2017 1 online resource (xiii, 224 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 24 Oct 2017) According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffrey's 'radical probabilism'. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes' rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences Learning Philosophy Reasoning (Psychology) Probabilism Erscheint auch als Druck-Ausgabe 9781107115323 https://doi.org/10.1017/9781316335789 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Huttegger, Simon M. 1976- The probabilistic foundations of rational learning Learning Philosophy Reasoning (Psychology) Probabilism |
| title | The probabilistic foundations of rational learning |
| title_auth | The probabilistic foundations of rational learning |
| title_exact_search | The probabilistic foundations of rational learning |
| title_full | The probabilistic foundations of rational learning Simon M. Huttegger |
| title_fullStr | The probabilistic foundations of rational learning Simon M. Huttegger |
| title_full_unstemmed | The probabilistic foundations of rational learning Simon M. Huttegger |
| title_short | The probabilistic foundations of rational learning |
| title_sort | the probabilistic foundations of rational learning |
| topic | Learning Philosophy Reasoning (Psychology) Probabilism |
| topic_facet | Learning Philosophy Reasoning (Psychology) Probabilism |
| url | https://doi.org/10.1017/9781316335789 |
| work_keys_str_mv | AT hutteggersimonm theprobabilisticfoundationsofrationallearning |