<?xml version="1.0"?>
<!-- name="generator" content="blosxom/2.0" -->
<!DOCTYPE rss PUBLIC "-//Netscape Communications//DTD RSS 0.91//EN" "http://my.netscape.com/publish/formats/rss-0.91.dtd">

<rss version="0.91">
  <channel>
    <title>Notebooks   </title>
    <link>http://bactra.org/notebooks</link>
    <description>Cosma's Notebooks</description>
    <language>en</language>

  <item>
    <title>Scientific Method and Philosophy of Science</title>
    <link>http://bactra.org/notebooks/2009/09/21#scientific-method</link>
    <description>

&lt;P&gt;Philosophy of science these days seems largely concerned with questions of
method, justification and reliability --- what do scientists do (and are they
all doing the same thing? are they doing what they think they're doing?), and
does it work, and if so why, and what exactly does it produce?  There are other
issues, too, like, do scientific theories really tell us about the world, or
just give us tools for making predictions (and is there a difference there?).
The whole &lt;a href=&quot;reductionism.html&quot;&gt;reductionism&lt;/a&gt;/&lt;a
href=&quot;emergent-properties.html&quot;&gt;emergence&lt;/a&gt; squabble falls under this
discipline, too.  But (so far as an outsider can judge), method is where most
of the debate is these days.

&lt;P&gt;Of course, most scientists proceed in serene indifference to debates in
methodology, and indeed all other aspects of the philosophy of science.  What
Medawar wrote thirty years ago and more is still true today:
	&lt;blockquote&gt;If the purpose of scientific methodology is to prescribe or
expound a system of enquiry or even a code of practice for scientific behavior,
then scientists seem to be able to get on very well without it.  Most
scientists receive no tuition in scientific method, but those who have been
instructed perform no better as scientists than those who have not.  Of what
other branch of learning can it be said that it gives its proficients no
advantage; that it need not be taught or, if taught, need not be
learned?&lt;/blockquote&gt;  (Actually, &lt;em&gt;has&lt;/em&gt; anyone done a controlled study
of that point?)  One of the things a good methodology should do is, therefore,
either explain why scientists don't have to know it.  (The alternative is to
say why, all appearances to the contrary notwithstanding, most existing science
is unsound.  There are of course many books which allege this, but they do not
trouble themselves with showing that their case for, say, reproductive biology
being a load of sexist rubbish is stronger than the reproductive biologists'
cases for their findings.)  Now of course working scientists &lt;em&gt;do&lt;/em&gt; employ
lots of different methods, which are of varying quality.  The same is true of
all learned professions, and it is probably also true that most professionals
(lawyers, architects, doctors) pay no heed to foundational debates about what
they are doing.  Instead methods seem to breed within the profession --- this
technique is unreliable under these circumstances, that procedure works better
than the old one, etc. --- without, as it were, the benefit of philosophical
clergy.  There is even a division of labor, with innovations in method tending
to come from specialized segments of the profession, or even from another
discipline --- experimenters often take new procedures from &lt;a
href=&quot;statistics.html&quot;&gt;statisticians&lt;/a&gt;, who act as lay methodologists.
(Poincar&amp;eacute; someplace describes this as innovators saving their followers
from the trouble of thinking.)  That something like this can work is one of the
triumphs of human &lt;a href=&quot;collective-cognition.html&quot;&gt;collective cognition&lt;/a&gt;;
it is also something that needs to be explained.  (Explanations might open the
way to improving the process; there is no reason to think it is currently
optimal.)

&lt;P&gt;Some or all of this may or may not have close connections to &lt;a
href=&quot;history-of-science.html&quot;&gt;history of science&lt;/a&gt;, the &lt;a
href=&quot;science.html&quot;&gt;social and cultural relations of science&lt;/a&gt;, and &lt;a
href=&quot;evol-epistem.html&quot;&gt;evolutionary epistemology&lt;/a&gt;.  I would contend that
there are certainly close ties to the &lt;a
href=&quot;sociology-of-science.html&quot;&gt;sociology of science&lt;/a&gt; and &lt;a
href=&quot;learning-inference-induction.html&quot;&gt;machine learning, statistical
inference and induction&lt;/a&gt;.

&lt;ul&gt;Recommended, big picture:
	&lt;li&gt;&lt;a href=&quot;claude-bernard.html&quot;&gt;Claude
Bernard&lt;/a&gt;, &lt;cite&gt;Introduction to the Study of Experimental Medicine&lt;/cite&gt;
	&lt;li&gt;Ronald N. Giere, &lt;cite&gt;Explaining Science: A Cognitive
Approach&lt;/cite&gt;
	&lt;li&gt;Ian Hacking
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Representing and Intervening&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Social Construction of What?&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt; &lt;a href=&quot;http://www.columbia.edu/~psk16/&quot;&gt;Philip Kitcher&lt;/a&gt;
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;The Advancement of Science: Science without Legend,
Objectivity without Illusion&lt;/cite&gt;
		&lt;li&gt;&quot;On the Explanatory Role of Correspondence Truth&quot; [&lt;a
href=&quot;http://www.columbia.edu/~psk16/correspondence_truth.htm&quot;&gt;Online
draft&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;li&gt;Larry Laudan
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Science and Relativism&lt;/cite&gt; [The best 20th-century
philosophical dialogue I've found.  (That is not as strong a recommendation as
it should be.)]
		&lt;li&gt;&lt;cite&gt;Science and Values&lt;/cite&gt; [i.e. cognitive values]
		&lt;li&gt;&lt;cite&gt;Beyond Positivism and Relativism&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Progress and Its Problems&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Deborah Mayo, &lt;cite&gt;Error and the Growth of Experimental
Knowledge&lt;/cite&gt; [&lt;a href=&quot;../reviews/error/&quot;&gt;Review: We Have Ways of Making
You Talk, or, Long Live Peircism-Popperism-Neyman-Pearson Thought!&lt;/a&gt;]
	&lt;li&gt;&lt;a href=&quot;../Medawar&quot;&gt;Peter Medawar&lt;/a&gt;, &lt;cite&gt;Induction and
Intuition in Scientific Thought&lt;/cite&gt; [collected in &lt;cite&gt;Pluto's
Republic&lt;/cite&gt;]
	&lt;li&gt;Henri Poincar&amp;eacute; [One of the great mathematicians and
physicists of all time, founder of &lt;a href=&quot;chaos.html&quot;&gt;dynamics&lt;/a&gt; in the
modern sense.  He wrote three classic, remarkably lucid books on the aims,
methods and nature of science.  The English translations have recently been
reprinted in one volume, &lt;cite&gt;The Value of Science: Essential Writings of
Henri Poincar&amp;eacute;&lt;/cite&gt;.  I think the individual works are still in print
separately, though.]
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Science and Method&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Science and Hypothesis&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Value of Science&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;&lt;a href=&quot;popper.html&quot;&gt;Karl Popper&lt;/a&gt;
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;The Logic of Scientific Discovery&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Conjectures and Refutations&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;&lt;a href=&quot;bertrand-russell.html&quot;&gt;Bertrand Russell&lt;/a&gt;
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;The Analysis of Matter&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Human Knowledge&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Wesley Salmon, &lt;cite&gt;Scientific Explanation and the Causal
Structure of the World&lt;/cite&gt;
	&lt;li&gt;Stephen Toulmin, &lt;cite&gt;Human Understanding,&lt;/cite&gt; vol. 1:
&lt;cite&gt;The Collective Use and Evolution of Concepts&lt;/cite&gt; [How to make rational
choices about conceptual problems without being able to make use of formal
logic; alternatively and he argues equivalently, how the social organization of
science keeps the intellectual structure on track.]
	&lt;li&gt;John M. Ziman, &lt;cite&gt;Real Science: What It Is, and What It
Means&lt;/cite&gt;
	&lt;/ul&gt;

&lt;ul&gt;Recommended, close-ups:
	&lt;li&gt;R. B. Braithwaite, &lt;Cite&gt;Scientific Explanation&lt;/cite&gt;
	&lt;li&gt;Agnes Arber, &lt;cite&gt;The Mind and the Eye&lt;/cite&gt; [The last work of
any importance produced by a classical Idealist; strange, interesting, and
quite wrong]
	&lt;li&gt;&lt;a href=&quot;http://www.indiana.edu/~koertge/&quot;&gt;Noretta Koertge&lt;/a&gt;,
&lt;cite&gt;A House Built on Sand: Flaws in the Cultural Studies Account of
Science&lt;/cite&gt; [&lt;a
href=&quot;http://www.physics.nyu.edu/faculty/sokal/noretta.html&quot;&gt;intro.&lt;/a&gt; by &lt;a
href=&quot;http://www.physics.nyu.edu/faculty/sokal/&quot;&gt;Alan Sokal&lt;/a&gt;]
	&lt;li&gt;&lt;a href=&quot;quine.html&quot;&gt;Quine&lt;/a&gt; has a good deal to say on what is
&quot;vaguely denominated `scientific method' &quot;
	&lt;li&gt;Arturo Rosenblueth and Norbert Wiener, &quot;The Role of Models
in Science&quot;, &lt;cite&gt;Philosophy of Science&lt;/cite&gt; &lt;strong&gt;12&lt;/strong&gt; (1945):
316--321&lt;/a&gt; [&lt;a href=&quot;http://www.jstor.org/pss/184253&quot;&gt;JSTOR&lt;/a&gt;]
	&lt;li&gt;Max Scharnberg, &lt;cite&gt;The Myth of Paradigm-Shift, or, How to Lie
with Methodology&lt;/cite&gt; [Unfortunately the conceit of the title isn't really
carried through, though the book where it &lt;em&gt;is,&lt;/em&gt; is one the age itself
demands.]
	&lt;/ul&gt;

&lt;ul&gt;To read:
	&lt;li&gt;Jeremy Aarons, &lt;cite&gt;Thinking Locally: A disunified methodology of
science&lt;/cite&gt; [&lt;a href=&quot;http://www.jpaarons.net/dubbings/thesis/&quot;&gt;Link&lt;/a&gt;]
	&lt;li&gt;K&amp;oacute;l&amp;aacute; Ab&amp;iacute;mb&amp;oacute;l&amp;aacute;, &quot;A Critique of
Methdological Naturalism&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1017/S0269889706000858&quot;&gt;&lt;cite&gt;Science in
Context&lt;/cite&gt; &lt;strong&gt;19&lt;/strong&gt; (2006): 191--213&lt;/a&gt; [Taking issue with
Larry Laudan's version of methodological naturalism]
	&lt;li&gt;Mario Alai, &quot;A.I., Scientific Discovery and realism&quot;, &lt;cite&gt;Minds
and Machines&lt;/cite&gt; &lt;strong&gt;14&lt;/strong&gt; (2004): 21--42
	&lt;li&gt;Davis Baird, &lt;cite&gt;Thing Knowledge: A Philosophy of
Scientific Instruments&lt;/cite&gt; [&lt;a href=&quot;http://www.ucpress.edu/books/pages/9625.php&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Eric Christian Barnes, &lt;citE&gt;The Paradox of Predictivism&lt;/citE&gt;
[&lt;a href=&quot;http://cambridge.org/9780521879620&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Ralph M. Blake, Curt J. Ducasse and Edward H.  Madden,
&lt;cite&gt;Theories of Scientific Method: The Renaissance through the Nineteenth
Century&lt;/cite&gt;
	&lt;li&gt;Max Born, &lt;cite&gt;Natural Philosophy of Cause and Chance&lt;/cite&gt;
	&lt;li&gt;Ruggero Giuseppe Boscovich, &lt;cite&gt;A Theory of Natural Philosophy,
Put Forward and Explained by Roger Joseph Boscovich. With a Short Life of
Boscovich.&lt;/cite&gt; [&quot;From the text of the first Venetian edition published
under the personal superintendence of the author in 1763.&quot;]
	&lt;li&gt;Katherine A. Brading and Elaine Landry, &quot;A minimal construal of
scientific structrualism&quot;, &lt;a
href=&quot;http://philsci-archive.pitt.edu/archive/00002181/&quot;&gt;phil-sci/2181&lt;/a&gt;
	&lt;li&gt;James Robert Brown, &lt;cite&gt;Who Rules in Science: An Opinionated
Guide to the Wars&lt;/cite&gt;
	&lt;li&gt;Craig Callender and Jonathan Cohen, &quot;There Is No Special Problem
About Scientific Representation&quot;, &lt;a
href=&quot;http://philsci-archive.pitt.edu/archive/00002177/&quot;&gt;phil-sci/2177&lt;/a&gt;
	&lt;li&gt;Rudolf Carnap, &lt;cite&gt;An Introduction to the Philosophy of
Science&lt;/cite&gt; [Ed. Martin Gardner]
	&lt;li&gt;Anjan Chakravartty, &lt;cite&gt;A Metaphysics for Scientific Realism:
Knowing the Unobservable&lt;/cite&gt;
[&lt;a href=&quot;http://cambridge.org/9780521876490&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Chang Liu, &quot;Laws and Models in a Theory of Idealization,&quot; &lt;a
href=&quot;http://philsci-archive.pitt.edu/archive/00000363&quot;&gt;phil-sci/363&lt;/a&gt;
	&lt;li&gt;Pierre Duhem, &lt;cite&gt;Aim and Structure of Physical Theory&lt;/cite&gt;
	&lt;li&gt;Earman (ed.), &lt;cite&gt;Inference, Explanation, and Other Frustrations:
Essays in the Philosophy of Science&lt;/cite&gt; [&lt;a href=&quot;http://ark.cdlib.org/ark:/13030/ft4f59n977/&quot;&gt;online&lt;/a&gt;]
	&lt;li&gt;A. Franklin
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;The Neglect of Experiment&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Experiment, Right or Wrong&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Steven French and Newton C. A. da Costa, &lt;cite&gt;Science and Partial
Truth: A Unitary Approach to Models and Scientific Reasoning&lt;/cite&gt; [&quot;explore
the consequences of adopting a 'pragmatic' notion of truth in the philosophy of
science - accepting a theory as valid when it may only be partially true&quot;]
	&lt;li&gt;Peter Galison
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;How Experiments End&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Image and Logic&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Hugh G. Gauch, Jr., &lt;cite&gt;Scientific Method in Practice&lt;/cite&gt;
[&lt;a href=&quot;http://cambridge.org/0521017084&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Ronald N. Giere, &lt;cite&gt;Science without Laws&lt;/cite&gt;
	&lt;li&gt;Peter Giza, &quot;Automated Discovery Systems and Scientific Realism&quot;,
&lt;cite&gt;Minds and Machines&lt;/cite&gt; &lt;strong&gt;12&lt;/strong&gt; (2002): 105--117
	&lt;li&gt;Peter Godfrey-Smith, &lt;cite&gt;Theory and Reality: An Introduction
to the Philosophy of Science&lt;/cite&gt;
	&lt;li&gt;Susan Haack, &lt;cite&gt;Defending Science --- Within Reason: Between
Scientism and Cynicism&lt;/cite&gt;
	&lt;li&gt;David Hull
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Science and Selection: Essays on Biological
Evolution and Philosophy of Science&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Science as a Process&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Jeffrey Ketland, &quot;Empirical Adequacy and Ramsification&quot;, &lt;a
href=&quot;http://philsci-archive.pitt.edu/archive/00001465/&quot;&gt;Phil-Sci/1465&lt;/a&gt;
	&lt;li&gt;Karin Knorr-Cetina, &lt;cite&gt;Epistemic Cultures: How the Sciences
Make Knowledge&lt;/cite&gt;
	&lt;li&gt;Hilary Kornblith
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Inductive Inference and Its Natural Ground&lt;/citE&gt;
		&lt;li&gt;(ed.), &lt;cite&gt;Naturalizing Epistemology&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Henry Kyburg, &lt;cite&gt;Science and Reason&lt;/cite&gt;
	&lt;li&gt;Larry Laudan, &lt;cite&gt;Science and Hypothesis&lt;/cite&gt;
	&lt;li&gt;Eric Martin and Daniel Osherson, &lt;cite&gt;Elements of Scientific
Inquiry&lt;/cite&gt; [Machine learning up the wazoo]
	&lt;li&gt;Abraham Meidan and Boris Levin, &quot;Choosing from Competing Theories
in Computerised Learning&quot;, &lt;cite&gt;Minds and Machines&lt;/citE&gt; &lt;strong&gt;12&lt;/strong&gt;
(2002): 119--129 [What philosophy of science can learn from data mining]
	&lt;li&gt;Gualtiero Piccinini, &quot;Epistemic divergence and the publicity of
scientific methods&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1016/S0039-3681(03)00049-9&quot;&gt;&lt;cite&gt;Studies in History
and Philosophy of Science&lt;/cite&gt; &lt;strong&gt;34&lt;/strong&gt; (2003): 597--612&lt;/a&gt;
	&lt;li&gt;Henri Poincar&amp;eacute;, &lt;cite&gt;Last Essays&lt;/cite&gt;
	&lt;li&gt;Hans Reichenbach
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Experience and Prediction&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Modern Philosophy of Science&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Robert Scott Root-Bernstein, &lt;cite&gt;Discovering: Inventing and
Solving Problems at the Frontiers of Scientific Knowledge&lt;/cite&gt; [&lt;a
href=&quot;http://www.hup.harvard.edu/Web_Backlist/Backlist_Categ/Discovering.html&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Joseph Rouse, &lt;cite&gt;Engaging Science: How to Understand Its
Practices Philosophically&lt;/cite&gt;
	&lt;li&gt;Wesley Salmon, &lt;cite&gt;Reality and Rationality&lt;/cite&gt; (ed.
Phil Dowe and Merrilee Salmon)
	&lt;li&gt;Gerhard Schurz, &quot;When Empirical Success Implies Theoretical
Reference: A Structural Correspondence Theorem&quot;
[&lt;a
href=&quot;http://thphil.phil-fak.uni-duesseldorf.de/index.php/article/articleview/364/1/53&quot;&gt;PDF
preprint&lt;/a&gt;]
	&lt;li&gt;Elliott Sober, &lt;cite&gt;From a Biological Point of View&lt;/cite&gt;
	&lt;li&gt;Miriam Solomon, &lt;cite&gt;Social Empiricism&lt;/cite&gt;
[&lt;a href=&quot;http://mitpress.mit.edu/0-262-19461-9&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;P. Kyle Stanford, &lt;cite&gt;Exceeding Our Grasp: Science, History,
and the Problem of Unconceived Alternatives&lt;/citE&gt;
	&lt;li&gt;Michael Strevens, &lt;cite&gt;Depth: An Account of Scientific
Explanation&lt;/cite&gt;
[&lt;a href=&quot;http://www.hup.harvard.edu/catalog/STRDEP.html&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Mark L. Taper and Subhash R. Lele (eds.), &lt;cite&gt;The Nature of
Scientific Evidence: Statistical, Philosophical, and Empirical
Considerations&lt;/cite&gt; [&lt;a
href=&quot;http://www.press.uchicago.edu/cgi-bin/hfs.cgi/00/16313.ctl&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Paul Thagard
		&lt;ul&gt;
		&lt;li&gt;&lt;citE&gt;Computational Philosophy of Science&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Conceptual Revolutions&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Bas C. Van Fraassen
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;The Scientific Image&lt;/cite&gt;
		&lt;li&gt;&quot;Structure: its shadow and substance,&quot; &lt;a
href=&quot;http://philsci-archive.pitt.edu/documents/disk0/00/00/06/31/&quot;&gt;phil-sci/631&lt;/a&gt;
		&lt;/ul&gt;
	&lt;li&gt;John Worrall, &quot;A Bridge over Troubled Cultures. The Impact of
Philosophy of Science in Britain,&quot; &lt;a
href=&quot;http://philsci-archive.pitt.edu/documents/disk0/00/00/06/15/&quot;&gt;phil-sci/615&lt;/a&gt;
	&lt;li&gt;John H. Zammito, &lt;cite&gt;A Nice Derangement of Epistemes:
Post-Positivism in the Study of Science from Quine to Latour&lt;/cite&gt;
	&lt;li&gt;John Ziman
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Public Knowledge: An Essay Concerning the Social
Dimension of Science&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Reliable Knowledge: An Exploration of the Grounds for
Belief in Science&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/0521406706&quot;&gt;Blurb&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;/ul&gt;
</description>
  </item>
  </channel>
</rss>