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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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