| 000 -LEADER |
|---|
| fixed length control field |
01951nam a22002657a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20191011130438.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
191011b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
978-0-19-927040-8 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
IZA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bovens, Luc |
| 9 (RLIN) |
4797 |
|
|---|
| Personal name |
Hartmann, Stephen |
| 9 (RLIN) |
4798 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Bayesian Epistemology |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
New York, |
| Name of publisher, distributor, etc. |
Oxford University Press, |
| Date of publication, distribution, etc. |
2003 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
159 pages |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning.<br/><br/>Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information sources. Measurement of the coherence of information is a controversial matter: arguably, the more coherent a set of information is, the more confident we may be that its content is true, other things being equal. The authors offer a new treatment of coherence which respects this claim and shows its relevance to scientific theory choice.<br/><br/>Bovens and Hartmann apply this methodology to a wide range of much discussed issues regarding evidence, testimony, scientific theories, and voting. Bayesian Epistemology is an essential tool for anyone working on probabilistic methods in philosophy, and has broad implications for many other disciplines. |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
philosophy |
|
|---|
| Uncontrolled term |
probalistic models |
|
|---|
| Uncontrolled term |
information |
|
|---|
| Uncontrolled term |
bayesian networks |
|
|---|
| Uncontrolled term |
methodology |
|
|---|
| Uncontrolled term |
voting |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://global.oup.com/academic/product/bayesian-epistemology-9780199270408?cc=de&lang=en&#">https://global.oup.com/academic/product/bayesian-epistemology-9780199270408?cc=de&lang=en&#</a> |
| Link text |
Publisher's website |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Monography |
