PhilSci Archive

Ramsey and Joyce Deliberation and Prediction

Liu, Yang and Price, Huw (2018) Ramsey and Joyce Deliberation and Prediction. [Preprint]

WarningThere is a more recent version of this item available.
[img]
Preview
Text
deliberation-PittV2.pdf

Download (211kB) | Preview

Abstract

Can an agent deliberating about an action A hold a meaningful credence that she will do A? ‘No’, say some authors, for ‘Deliberation Crowds Out Prediction’ (DCOP). Others disagree, but we argue here that such disagreements are often terminological. We explain why DCOP holds in a Ramseyian operationalist model of credence, but show that it is trivial to extend this model so that DCOP fails. We then discuss a model due to Joyce, and show that Joyce’s rejection of DCOP rests on terminological choices about terms such as ‘intention’, ‘prediction’, and ‘belief’. Once these choices are in view, they reveal underlying agreement between Joyce and the DCOP-favouring tradition that descends from Ramsey. Joyce’s Evidential Autonomy Thesis (EAT) is effectively DCOP, in different terminological clothing. Both principles rest on the so-called ‘transparency’ of first-person present-tensed reflection on one’s own mental states.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Liu, Yangliu@yliu.net0000-0001-8865-4647
Price, Huwmachuw@gmail.com0000-0002-9091-760X
Keywords: act credence, deliberation, prediction, Ramsey, Joyce, agency, transparency
Subjects: General Issues > Decision Theory
Specific Sciences > Probability/Statistics
Depositing User: Prof Huw Price
Date Deposited: 04 Mar 2018 03:05
Last Modified: 04 Mar 2018 03:05
Item ID: 14426
Subjects: General Issues > Decision Theory
Specific Sciences > Probability/Statistics
Date: 3 March 2018
URI: http://philsci-archive.pitt.edu/id/eprint/14426

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item