2000 HSS/PSA Program 1 - History of Science Society
2000 HSS/PSA Program 1 - History of Science Society
2000 HSS/PSA Program 1 - History of Science Society
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<strong>PSA</strong> Abstracts<br />
computation. She calls it The Modern Church’s Thesis: “A probabilistic Turing<br />
machine can simulate any reasonable physical device in polynomial cost.” As<br />
they stand, these claims are rather vague (mainly because it is not readily clear<br />
how to translate TM memory, and TM number <strong>of</strong> computation steps, into physical<br />
space-time variables.) However, the connection can be made more precise in a<br />
number <strong>of</strong> ways. Quantum computation seems to provide a counter example to<br />
this thesis. Quantum computers use programs that can run on superpositions <strong>of</strong><br />
input states, rather than just one such state. This “massive parallelism” can,<br />
sometimes, be used to speedup computations. The most dramatic example, so<br />
far, is Shor’s quantum algorithm for factoring numbers that runs in polynomial<br />
time. It is widely believed that no TM can factor numbers (into their prime<br />
components) in so few steps. The paper will survey these developments and<br />
their implications for the “Physical Church -Turing Thesis.”<br />
Anya Plutynski University <strong>of</strong> Pennsylvania<br />
Modeling Evolution in Theory and Practice<br />
The discussion <strong>of</strong> models in philosophy <strong>of</strong> science has historically revolved<br />
around the question <strong>of</strong> whether models in the sense <strong>of</strong> metaphors or analogies<br />
are dispensable or critical to prediction and explanation. Today most<br />
philosophers <strong>of</strong> science accept that models are important to theorizing, but the<br />
focus has been primarily on mathematical models. Recent work on material,<br />
analogical, and otherwise non-mathematical models requires philosophers <strong>of</strong><br />
science to reconsider the role <strong>of</strong> these types <strong>of</strong> models in scientific theory and<br />
practice. This paper discusses how biologists use non-mathematical models<br />
and argues that the semantic approach to evolutionary theory must<br />
accommodate these diverse types and functions <strong>of</strong> models.<br />
P<br />
S<br />
A<br />
Stathis Psillos University <strong>of</strong> Athens<br />
Is Structural Realism Possible?<br />
This paper examines in detail two paths that lead to Structural Realism (SR),<br />
viz. a substantive philosophical position that places structural constraints on<br />
the knowability <strong>of</strong> the world. The ‘upward path’ is any attempt to begin with<br />
empiricist premises and reach a sustainable realist position. (It has been<br />
advocated by Russell, Weyl and Maxwell among others). The ‘downward path’<br />
is any attempt to start from realist premises and construct a weaker realist<br />
position. (It has been recently advocated by Worrall, French and Ladyman).<br />
The paper unravels and criticises the metaphysical presuppositions <strong>of</strong> both<br />
paths to SR. It questions its very possibility as a substantive—and viable—<br />
realist thesis.<br />
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