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Single Idea 5033

[filed under theme 13. Knowledge Criteria / B. Internal Justification / 4. Foundationalism / a. Foundationalism ]

Full Idea

Nothing should be taken as certain without foundations.

Gist of Idea

Nothing should be taken as certain without foundations

Source

Gottfried Leibniz (Letters to Antoine Arnauld [1686], 1687.04.30)

Book Ref

Leibniz,Gottfried: 'Philosophical Writings', ed/tr. Parkinson,G.H.R. [Dent 1973], p.71


A Reaction

This might leave open the option, if you were a modern 'Fallibilist', that something might lack foundations, and so not be certain, and yet still qualify as 'knowledge'. That is my view. Knowledge resides somewhere between opinion and certainty.


The 16 ideas with the same theme [claim that knowledge foundations are possible]:

Maybe primary elements can be named, but not receive a rational account [Plato]
The method starts with clear intuitions, followed by a process of deduction [Descartes]
I was searching for reliable rock under the shifting sand [Descartes]
To achieve good science we must rebuild from the foundations [Descartes]
Only one certainty is needed for progress (like a lever's fulcrum) [Descartes]
Nothing should be taken as certain without foundations [Leibniz]
If anything is to be probable, then something must be certain [Lewis,CI]
Foundations need not precede other beliefs [Wittgenstein]
The 'doctrine of the given' is correct; some beliefs or statements are self-justifying [Chisholm]
Modern foundationalists say basic beliefs are fallible, and coherence is relevant [Cleve]
Externalist theories of knowledge are one species of foundationalism [Bonjour]
Foundationalism requires inferential and non-inferential justification [Dancy,J]
Foundationalists must accept not only the basic beliefs, but also rules of inference for further progress [Dancy,J]
Traditional foundationalism is radically internalist [Williams,M]
Foundationalism aims to avoid an infinite regress [Bernecker/Dretske]
Strong foundationalism needs strict inferences; weak version has induction, explanation, probability [Kvanvig]