The Method of Arbitrary Functions

1983 ◽  
Vol 34 (1) ◽  
pp. 37-47 ◽  
Author(s):  
JAN VON PLATO
Keyword(s):  
Method Of Arbitrary Functions

Chance and Determinism

2017 ◽  
Author(s):  
Roman Frigg
Keyword(s):  
Statistical Mechanics ◽  
Scientific Theories ◽  
Deterministic Processes ◽  
Method Of Arbitrary Functions

Determinism and chance seem to be irreconcilable opposites: either something is chancy or it is deterministic, but not both. Yet there are processes which appear to square the circle by being chancy and deterministic at once, and the appearance is backed by well-confirmed scientific theories, such as statistical mechanics, which also seem to provide us with chances for deterministic processes. Is this possible, and if so how? In this chapter is a discussion of this question for probabilities as they occur in the empirical sciences. Particular attention is paid to broadly Humean approaches and to the method of arbitrary functions, which seem to offer the most promising accounts of deterministic chance.

scholarly journals Determinism and Indeterminism

2015 ◽  
Author(s):  
Charlotte Werndl
Keyword(s):  
Nineteenth Century ◽  
Probability Distributions ◽  
Indirect Evidence ◽  
Newtonian Mechanics ◽  
Newtonian Physics ◽  
Observational Equivalence ◽  
The Third ◽  
Method Of Arbitrary Functions ◽  
Determinism And Indeterminism

This article focuses on three themes concerning determinism and indeterminism. The first is observational equivalence between deterministic and indeterministic models. The article discusses several results about observational equivalence and presents an argument on how to choose between deterministic and indeterministic models involving indirect evidence. The second is whether Newtonian physics is indeterministic. The article argues that the answer depends on what one takes Newtonian mechanics to be and highlights how contemporary debates on this issue differ from those in the nineteenth century. The third theme is how the method of arbitrary functions can be used to make sense of deterministic probabilities. The article discusses various ways of interpreting the initial probability distributions and argues that they are best understood as physical, biological, and other quantities characterizing the particular situation. The fact that the method of arbitrary functions deserves more attention than it has received so far is also emphasized.

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