scholarly journals A NEW STATISTICAL SOLUTION TO THE GENERALITY PROBLEM

Episteme ◽  
2017 ◽  
Vol 15 (2) ◽  
pp. 228-244 ◽  
Author(s):  
Samuel Kampa
Keyword(s):  
Generality Problem ◽  
Statistical Solution ◽  
Theoretical Virtues

ABSTRACTThe Generality Problem is widely recognized to be a serious problem for reliabilist theories of justification. James R. Beebe's Statistical Solution is one of only a handful of attempted solutions that has garnered serious attention in the literature. In their recent response to Beebe, Julien Dutant and Erik J. Olsson successfully refute Beebe's Statistical Solution. This paper presents a New Statistical Solution that countenances Dutant and Olsson's objections, dodges the serious problems that trouble rival solutions, and retains the theoretical virtues that made Beebe's solution so attractive in the first place. There indeed exists a principled, rigorous, conceptually sparse, and plausible solution to the Generality Problem: it is the New Statistical Solution.

scholarly journals Is There a Statistical Solution to the Generality Problem?

Erkenntnis ◽  
2012 ◽  
Vol 78 (6) ◽  
pp. 1347-1365 ◽  
Author(s):  
Julien Dutant ◽  
Erik J. Olsson
Keyword(s):  
Generality Problem ◽  
Statistical Solution

Rejecting the New Statistical Solution to the Generality Problem

Episteme ◽  
2019 ◽  
pp. 1-15
Author(s):  
Jeffrey Tolly
Keyword(s):  
Good Reason ◽  
Generality Problem ◽  
Statistical Solution ◽  
Process Reliabilism

AbstractThe generality problem is one of the most pressing challenges for process reliabilism about justification. Thus far, one of the more promising responses is James Beebe's tri-level statistical solution. Despite the initial plausibility of Beebe's approach, the tri-level statistical solution has been shown to generate implausible justification verdicts on a variety of cases. Recently, Samuel Kampa has offered a new statistical solution to the generality problem, which he argues can overcome the challenges that undermined Beebe's original statistical solution. However, there's good reason to believe that Kampa is mistaken. In this paper, I show that Kampa's new statistical solution faces problems that are no less serious than the original objections to Beebe's solution. Depending on how we interpret Kampa's proposal, the new statistical solution either types belief-forming processes far too narrowly, or the new statistical solution fails to clarify the epistemic implications of reliabilism altogether. Either way, the new statistical solution fails to make substantive progress towards solving the generality problem.

Modal Ignorance and the Limits of Philosophy

2017 ◽  
Author(s):  
Edouard Machery
Keyword(s):  
Alternative Conceptions ◽  
Theoretical Virtues ◽  
Method Of Cases

Chapter 6 examines the implications of Unreliability, Dogmatism, and Parochialism for modally immodest philosophizing (that is, philosophizing that requires knowledge of metaphysical necessities): Modally immodest issues should be dismissed and philosophy reoriented. Alternatives to the method of cases are critically examined: We cannot gain the required modal knowledge by relying on intuition, by analyzing the meaning of philosophically significant words, and by appealing to alleged theoretical virtues like simplicity, generality, and elegance to choose between philosophical views. Alternative conceptions of philosophy are too deflationary to be satisfying, particularly because there is much philosophizing left once philosophy is reoriented.

scholarly journals Exact statistical solution for the hopping transport of trapped charge via finite Markov jump processes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrey A. Pil’nik ◽  
Andrey A. Chernov ◽  
Damir R. Islamov
Keyword(s):  
Charge Transport ◽  
Thin Layers ◽  
Jump Processes ◽  
Dielectric Films ◽  
Algebraic Equations ◽  
Markov Jump ◽  
Statistical Solution ◽  
Linear Algebraic Equations ◽  
Special Cases ◽  
Thin Dielectric Films

AbstractIn this study, we developed a discrete theory of the charge transport in thin dielectric films by trapped electrons or holes, that is applicable both for the case of countable and a large number of traps. It was shown that Shockley–Read–Hall-like transport equations, which describe the 1D transport through dielectric layers, might incorrectly describe the charge flow through ultra-thin layers with a countable number of traps, taking into account the injection from and extraction to electrodes (contacts). A comparison with other theoretical models shows a good agreement. The developed model can be applied to one-, two- and three-dimensional systems. The model, formulated in a system of linear algebraic equations, can be implemented in the computational code using different optimized libraries. We demonstrated that analytical solutions can be found for stationary cases for any trap distribution and for the dynamics of system evolution for special cases. These solutions can be used to test the code and for studying the charge transport properties of thin dielectric films.

Is the Generality Problem too General?

2002 ◽  
Vol 65 (1) ◽  
pp. 87-97 ◽  
Author(s):  
Jonathan Adler ◽  
Michael Levin
Keyword(s):  
Generality Problem

Is the Use of Evidence Necessary for the Justification of Beliefs?

Diogenes ◽  
2019 ◽  
Vol 27 (2) ◽  
Author(s):  
Anna Ivanova ◽  
◽  
◽  
Keyword(s):  
Mental States ◽  
Generality Problem ◽  
Linguistic Practices

The article analyses the conflicting views of reliabilism and evidentialism on the following question – What is the leading condition in ascribing justification to beliefs: reliability or evaluation through evidence. The evidentialist view is defended by arguments, derived from the linguistic practices of ascribing justification in complex conditions. The generality problem is interpreted as an exemplification of the complexity of cognitive situations and it is argued that complexity requires reference to the mental states as a means for ascribing justification. Reliability is also recognized as a factor for ascribing justification to some beliefs when it serves as a type of evidence.

scholarly journals A statistical solution to the chaotic, non-hierarchical three-body problem

Nature ◽  
2019 ◽  
Vol 576 (7787) ◽  
pp. 406-410 ◽  
Author(s):  
Nicholas C. Stone ◽  
Nathan W. C. Leigh
Keyword(s):  
Body Problem ◽  
Three Body Problem ◽  
Statistical Solution ◽  
Three Body
Sign in / Sign up

Export Citation Format

Share Document