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2000 HSS/PSA Program 1 - History of Science Society

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<strong>PSA</strong> Abstracts<br />

recognize as optional, suppose and choose. There is always a gap between the<br />

agent’s commitments and fulfillment <strong>of</strong> these commitments. As a consequence<br />

there is a difference between changes in the various attitudes cited above that are<br />

changes in commitments and changes in performance fulfilling such commitments.<br />

Advocates <strong>of</strong> principles <strong>of</strong> diachronic rationality sometimes seem to conflate these<br />

two kinds <strong>of</strong> changes. Deliberation crowds out prediction: An agent deliberating<br />

as to which <strong>of</strong> the options the agent recognizes to be available ought to be chosen<br />

and implemented cannot coherently in the same context assign unconditional<br />

probabilities to the propositions predicting the agent’s implementation <strong>of</strong> these<br />

options. Prediction crowds out deliberation. If an agent predicts that the agent will<br />

implement a given project, implementation cannot be under the agent’s control<br />

from the agent’s point <strong>of</strong> view. I shall elaborate on these ideas and explore some <strong>of</strong><br />

their ramifications for decision making and belief change using illustrations derived<br />

from the literature on injunctions against Dutch Books or choosing options that<br />

are “dominated” by others.<br />

Peter␣ J. Lewis University <strong>of</strong> Miami<br />

In Which Error Statistics Rescues Realism from the Pessimistic Induction<br />

The pessimistic induction is a family <strong>of</strong> arguments, each to the effect that the falsity<br />

<strong>of</strong> past scientific theories undermines our justification for thinking that current<br />

scientific theories are true. Putnam and Laudan present rather different versions <strong>of</strong><br />

the pessimistic induction, but both fall within the naturalistic tradition in philosophy,<br />

which holds that philosophical claims such as realism are to be evaluated on the<br />

basis <strong>of</strong> empirical evidence. Most <strong>of</strong> the considerable literature on this topic attempts<br />

to defend scientific realism by attacking the historical evidence. However, I argue<br />

that a careful look at scientific methodology, using error statistics (Mayo 1996),<br />

shows that both Putnam and Laudan make methodological mistakes that render<br />

their evidence harmless to scientific realism. Even if all their historical claims are<br />

granted, their conclusions acquire no empirical support.<br />

P<br />

S<br />

A<br />

Michelle Little Northwestern University<br />

Rethinking Experimentation<br />

Hacking (1983) argues against a linguistic, representational approach to justifying<br />

our beliefs that the unobservable entities described in the sciences really exist.<br />

He favors in its stead an experimenting approach such that “engineering, not<br />

theorizing, is the best pro<strong>of</strong> <strong>of</strong> scientific realism about entities” (1983: 274). In<br />

light <strong>of</strong> that perspective, Representing and Intervening concludes with a<br />

skepticism about the existence <strong>of</strong> black holes (p. 275), a position he expanded<br />

six years later in “Extragalactic Reality: The Case <strong>of</strong> Gravitational Lensing.”<br />

227

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