000 | 03090nam a22003975i 4500 | ||
---|---|---|---|
001 | 283128 | ||
003 | MX-SnUAN | ||
005 | 20160429154221.0 | ||
007 | cr nn 008mamaa | ||
008 | 150903s2007 ne | o |||| 0|eng d | ||
020 |
_a9781402061271 _99781402061271 |
||
024 | 7 |
_a10.1007/9781402061271 _2doi |
|
035 | _avtls000335489 | ||
039 | 9 |
_a201509030238 _bVLOAD _c201404300302 _dVLOAD _y201402041301 _zstaff |
|
040 |
_aMX-SnUAN _bspa _cMX-SnUAN _erda |
||
050 | 4 | _aBD143-237 | |
100 | 1 |
_aFriend, Michèle. _eeditor. _9310412 |
|
245 | 1 | 0 |
_aInduction, Algorithmic Learning Theory, and Philosophy / _cedited by Michèle Friend, Norma B. Goethe, Valentina S. Harizanov. |
264 | 1 |
_aDordrecht : _bSpringer Netherlands, _c2007. |
|
300 |
_axiv, 290 páginas _brecurso en línea. |
||
336 |
_atexto _btxt _2rdacontent |
||
337 |
_acomputadora _bc _2rdamedia |
||
338 |
_arecurso en línea _bcr _2rdacarrier |
||
347 |
_aarchivo de texto _bPDF _2rda |
||
490 | 0 |
_aLogic, Epistemology, and the Unity of Science ; _v9 |
|
500 | _aSpringer eBooks | ||
505 | 0 | _ato the Philosophy and Mathematics of Algorithmic Learning Theory -- to the Philosophy and Mathematics of Algorithmic Learning Theory -- Technical Papers -- Inductive Inference Systems for Learning Classes of Algorithmically Generated Sets and Structures -- Deduction, Induction, and beyond in Parametric Logic -- How Simplicity Helps You Find the Truth without Pointing at it -- Induction over the Continuum -- Philosophy Papers -- Logically Reliable Inductive Inference -- Some Philosophical Concerns about the Confidence in ‘Confident Learning’ -- How to Do Things with an Infinite Regress -- Trade-Offs -- Two Ways of Thinking about Induction -- Between History and Logic. | |
520 | _aThis is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint. Building upon this base, subsequent papers present novel extensions of algorithmic learning theory as well as bold, new applications to traditional issues in epistemology and the philosophy of science. The volume is vital reading for students and researchers seeking a fresh, truth-directed approach to the philosophy of science and induction, epistemology, logic, and statistics. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aGoethe, Norma B. _eeditor. _9310413 |
|
700 | 1 |
_aHarizanov, Valentina S. _eeditor. _9310414 |
|
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
|
776 | 0 | 8 |
_iEdición impresa: _z9781402061264 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4020-6127-1 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
942 | _c14 | ||
999 |
_c283128 _d283128 |