March 7, 2017

Belief, Evidence, and Uncertainty: Problems of Epistemic by Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper

By Prasanta S. Bandyopadhyay, Gordon Brittan Jr., Mark L. Taper

This paintings breaks new floor via rigorously distinguishing the ideas of trust, affirmation, and facts after which integrating them right into a higher figuring out of non-public and medical epistemologies. It outlines a probabilistic framework within which subjective positive aspects of private wisdom and goal gains of public wisdom have their precise position. It additionally discusses the bearings of a few statistical theorems on either formal and standard epistemologies whereas exhibiting how a number of the current paradoxes in either may be resolved with the aid of this framework.

Show description

Read or Download Belief, Evidence, and Uncertainty: Problems of Epistemic Inference PDF

Best logic & language books

Carnap's Logical Syntax of Language

This volumes target is to supply an creation to Carnaps ebook from a old and philosophical standpoint, each one bankruptcy concentrating on one particular factor. The ebook should be of curiosity not just to Carnap students yet to all these drawn to the background of analytical philosophy.

Inference from Signs: Ancient Debates about the Nature of Evidence

Unique and penetrating, this booklet investigates of the thought of inference from symptoms, which performed a crucial function in historic philosophical and medical technique. It examines an enormous bankruptcy in historic epistemology: the debates in regards to the nature of proof and of the inferences in accordance with it--or symptoms and sign-inferences as they have been known as in antiquity.

Ontology (Central Problems of Philosophy)

The philosophical examine of what exists and what it capability for whatever to exist is likely one of the middle matters of metaphysics. This creation to ontology offers readers with a finished account of the principal principles of the topic of being. This publication is split into elements. the 1st half explores questions of natural philosophical ontology: what's intended via the idea that of being, why there exists whatever instead of not anything, and why there's just one logically contingent real international.

Counterfactuals and Probability

This quantity explores counterfactual concept and language. we will regularly overview counterfactual questions probabilistically, predicting what will be most likely or not likely to occur. Schulz describes those probabilistic methods of comparing counterfactual questions and turns the information right into a novel account of the workings of counterfactual suggestion.

Additional resources for Belief, Evidence, and Uncertainty: Problems of Epistemic Inference

Example text

1961). Probability and the logic of rational belief. Wesleyan, CT: Wesleyan University Press. Lele, S. (2004). Evidence Function and the Optimality of the Law of Likelihood. In (Taper and Lele, 2004). Levi, I. (1967). Probability Kinematics. British Journal for the Philosophy of Science, 18, 200– 205. Lewis, D. (1980). A Subjectivist’s Guide to Objective Chance. In R. C. ), Studies in inductive logic and probability (Vol. 11). Berkeley: University of California Press. Lindsay, B. (2004). Statistical Distances as Loss Functions in Assessing Model Adequacy.

One final preliminary. We have assumed for the sake of clarity and convenience that the hypotheses in our schematic examples are simple and not complex. 22 The issues involved are technical, and for that reason we have put our discussion of them in an Appendix to this chapter. Suffice it to say here that this objection can be met. The Evidential Condition Now back to our characterization of evidence. It is made precise in the following equation:23 D is evidence for H1 &B as against H2 &B if and only if LR1;2 !

Moreover, there is a coherence condition on confirmation that need not be satisfied by our account of evidence: if H1 entails H2, then the probability of H1 cannot exceed the probability of H2, In addition, the notion of justification is agent-sensitive; it depends on a distribution of prior probabilities on hypotheses, and relates, like belief generally, to what is in one’s head. The notion of evidence is agent-independent; it depends on a ratio of likelihoods already determined, and to this extent has to do with how things stand in the world, independent of the agent’s belief or knowledge.

Download PDF sample

Rated 4.69 of 5 – based on 29 votes