scholarly journals The Material Theory of Induction at the Frontiers of Science

Episteme ◽  
2020 ◽  
pp. 1-17
Author(s):  
William Peden

Abstract According to John D. Norton's Material Theory of Induction, all reasonable inductive inferences are justified in virtue of background knowledge about local uniformities in nature. These local uniformities indicate that our samples are likely to be representative of our target population in our inductions. However, a variety of critics have noted that there are many circumstances in which induction seems to be reasonable, yet such background knowledge is apparently absent. I call such an absence of circumstances ‘the frontiers of science', where background scientific theories do not provide information about such local uniformities. I argue that the Material Theory of Induction can be reconciled with our intuitions in favour of these inductions. I adapt an attempted justification of induction in general, the Combinatoric Justification of Induction, into a more modest rationalisation at the less foundational level that the critics discuss. Subject to a number of conditions, we can extrapolate from large samples using our knowledge of facts about the minimum proportions of representative subsets of finite sets. I also discuss some of Norton's own criticisms of his theory and argue that he is overly pessimistic. I conclude that Norton's theory at least performs well at the frontiers of science.

Erkenntnis ◽  
2021 ◽  
Author(s):  
William Peden

AbstractAccording to John D. Norton's Material Theory of Induction, all inductive inferences are justified by local facts, rather than their formal features or some grand principles of nature's uniformity. Recently, Richard Dawid (Found Phys 45(9):1101–1109, 2015) has offered a challenge to this theory: in an adaptation of Norton's own celebrated "Dome" thought experiment, it seems that there are certain inductions that are intuitively reasonable, but which do not have any local facts that could serve to justify them in accordance with Norton's requirements. Dawid's suggestion is that “raw induction” might have a limited but important role for such inferences. I argue that the Material Theory can accommodate such inductions, because there are local facts concerning the combinatoric features of the induction’s target populations that can licence the inferences in an analogous way to existing examples of material induction. Since my arguments are largely independent of the details of the Dome, Norton's theory emerges as surprisingly robust against criticisms of excessive narrowness.


2017 ◽  
Vol 20 (2) ◽  
pp. 285
Author(s):  
Robinson Guitarrari

http://dx.doi.org/10.5007/1808-1711.2016v20n2p285 The understanding of conceptual relativity in Putnam’s and Kuhn’s writings should not be restricted to the claim that the existence is relative to, but not in virtue of, a conceptual scheme. This approach does not capture some significant differences between their positions about the notion of conceptual scheme. We understand that the thesis of conceptual relativity contains a statement about the close relationship between conceptual scheme and content, and another claim about the differences between conceptual schemes. Based on these two formal requirements, we propose a reconstruction of the Putnam’s treatment of it and show how it can be understood from Kuhn’s perspective of scientific development. We defend that, although both fulfill a critical role against metaphysical realism, they are applied to distinct domains: while Putnam’s conceptual relativity is in the record of the conceptual structure of scientific theories and presupposes a choice between cognitively equivalent conceptual schemes, Kuhn considers the field of the dynamics of development of science. Thus, we note relevant scientific cases of conceptual relativity that do not involve semantic incommensurability.


1996 ◽  
Vol 4 ◽  
pp. 341-363 ◽  
Author(s):  
S. H. Nienhuys-Cheng

The main operations in Inductive Logic Programming (ILP) are generalization and specialization, which only make sense in a generality order. In ILP, the three most important generality orders are subsumption, implication and implication relative to background knowledge. The two languages used most often are languages of clauses and languages of only Horn clauses. This gives a total of six different ordered languages. In this paper, we give a systematic treatment of the existence or non-existence of least generalizations and greatest specializations of finite sets of clauses in each of these six ordered sets. We survey results already obtained by others and also contribute some answers of our own. Our main new results are, firstly, the existence of a computable least generalization under implication of every finite set of clauses containing at least one non-tautologous function-free clause (among other, not necessarily function-free clauses). Secondly, we show that such a least generalization need not exist under relative implication, not even if both the set that is to be generalized and the background knowledge are function-free. Thirdly, we give a complete discussion of existence and non-existence of greatest specializations in each of the six ordered languages.


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