Monte Forster

This thesis considers the notion of intergenerational justice. I consider intertemporal justice largely through the lens of John Rawls’s theory of justice. Nonetheless, Rawls incorrectly gives priority to the principle of reciprocity in his theory. I correct Rawls’s misunderstanding concerning reciprocity. I also discuss the often-overlooked importance of natural duties to Rawls’s theory. I add the condition of vulnerability to Rawls’s circumstances of justice. By making these changes I give priority to impartiality in Rawls’s theory, remove the difficulties created by Rawls’s present-time-of-entry interpretation, remove the need for Rawls’s motivational assumption, and remove the chance-timing of a person’s birth as an arbitrary contingency and basis for bias in the decision-making of those behind the veil of ignorance.

Ketelaar and Ellis have provided a remarkably clear and succinct statement of Lakatosian philosophy of science and have also argued compellingly that the neo-Darwinian theory of evolution fills the Lakatosian criteria of progressivity. We find ourselves in agreement with much of what Ketelaar and Ellis say about Lakatosian philosophy of science, but have some questions about (1) the place of evolutionary psychology in a Lakatosian framework, and (2) the extent to which evolutionary psychology truly predicts new findings

Recent solutions to the curve-fitting problem, described in Forster and Sober ([1995]), trade off the simplicity and fit of hypotheses by defining simplicity as the paucity of adjustable parameters. Scott De Vito ([1997]) charges that these solutions are 'conventional' because he thinks that the number of adjustable parameters may change when the hypotheses are described differently. This he believes is exactly what is illustrated in Goodman's new riddle of induction, otherwise known as the grue problem. However, the 'number of adjustable parameters' is actually a loose way of referring to a quantity that is not language dependent. The quantity arises out of Akaike's theorem in a way that ensures its language invariance.