| 000 | 02353nam a22003738i 4500 | ||
|---|---|---|---|
| 001 | CR9780511760105 | ||
| 005 | 20250930143502.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 100504s2017||||enk o ||1 0|eng|d | ||
| 020 | _a9780511760105 (ebook) | ||
| 020 | _z9781107003217 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQA279.5 _b.B73 2017 |
| 082 | 0 | 0 |
_a519.5/42 _223 |
| 100 | 1 |
_aBradley, Richard, _d1964 December 13- _eauthor. |
|
| 245 | 1 | 0 |
_aDecision theory with a human face / _cRichard Bradley, London School of Economics and Political Science. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2017. |
|
| 300 |
_a1 online resource (xiv, 335 pages) : _bdigital, PDF file(s). |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 500 | _aTitle from publisher's bibliographic system (viewed on 24 Oct 2017). | ||
| 520 | _aWhen making decisions, people naturally face uncertainty about the potential consequences of their actions due in part to limits in their capacity to represent, evaluate or deliberate. Nonetheless, they aim to make the best decisions possible. In Decision Theory with a Human Face, Richard Bradley develops new theories of agency and rational decision-making, offering guidance on how'real' agents who are aware of their bounds should represent the uncertainty they face, how they should revise their opinions as a result of experience and how they should make decisions when lacking full awareness of, or precise opinions on relevant contingencies. He engages with the strengths and flaws of Bayesian reasoning, and presents clear and comprehensive explorations of key issues in decision theory, from belief and desire to semantics and learning. His book draws on philosophy, economics, decision science and psychology, and will appeal to readers in all of these disciplines. | ||
| 650 | 0 | _aBayesian statistical decision theory. | |
| 650 | 0 |
_aDecision making _xMathematical models. _959540 |
|
| 650 | 0 |
_aUncertainty _xMathematical models. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781107003217 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/9780511760105 |
| 907 |
_a.b16835001 _b2020-12-22 _c2020-09-28 |
||
| 942 | _n0 | ||
| 998 |
_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16835001 |
||
| 999 |
_c650865 _d650865 |
||