机读格式显示(MARC)
- 000 02091pam a2200397 i 4500
- 008 200313s2020 enka b 001 0 eng d
- 016 7_ |a 019758407 |2 Uk
- 020 __ |a 9781786615077 |q hardcover
- 020 __ |a 178661507X |q hardcover
- 020 __ |z 9781786615084 |q electronic publication
- 040 __ |a DLC |b eng |e rda |c DLC |d ZSU
- 050 _4 |a Q175 |b .M37 2020
- 099 __ |a CAL 022021008083
- 100 1_ |a Martins, André C. R., |e author.
- 245 10 |a Arguments, cognition, and science : |b need and consequences of probabilistic induction in science / |c André C. R. Martins.
- 264 _1 |a London ; |a New York : |b Rowman & Littlefield International, |c [2020]
- 300 __ |a xii, 208 pages : |b illustrations ; |c 24 cm
- 336 __ |a text |b txt |2 rdacontent
- 336 __ |a still image |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 8_ |a Our reasoning evolved not for finding the truth, but for social bonding and convincing. The best logical methods humans have created provide no path to truth, unless something is assumed as true from the start. Other than that, we only have methods for attempting to measure uncertainty. This book highlights the consequences of these facts for scientific practice, and suggests how to correct the mistakes we still make. But even our best methods to measure uncertainty might require infinite resources to provide solid answers. This conclusion has important consequences for when and how much we can trust arguments and scientific results. The author suggests ways we can improve our current practices, and argues that theoretical work is a fundamental part of the most effective way to do science.
- 650 _0 |a Science |x Methodology |x Social aspects.
- 650 _0 |a Reasoning |x Social aspects.
- 776 08 |i ebook version : |z 9781786615084