'De se' beliefs and centred uncertainty

What kind of thing do you believe when you believe that you are in a certain place, that it is a certain time, and that you are a certain individual? What happens if you get lost, or lose track of the time? Can you ever be unsure of your own identity? These are the kind of questions considered in my...

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Main Author: Milano, Silvia
Published: London School of Economics and Political Science (University of London) 2018
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Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745954
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spelling ndltd-bl.uk-oai-ethos.bl.uk-7459542019-01-08T03:17:39Z'De se' beliefs and centred uncertaintyMilano, Silvia2018What kind of thing do you believe when you believe that you are in a certain place, that it is a certain time, and that you are a certain individual? What happens if you get lost, or lose track of the time? Can you ever be unsure of your own identity? These are the kind of questions considered in my thesis. Beliefs about where, when and who you are are what are called in the literature 'de se', or self-locating beliefs. This thesis examines how we can represent de se beliefs, and how we can reason about de se uncertainty. In the first part of the thesis, I present and motivate a specific account of the content of de se belief, based on the one given by David Lewis. On this account, the content of de se beliefs are centred propositions. I defend this view against a rival account, put forward by Robert Stalnaker, according to whom the content of de se beliefs are ordinary (non-centred) propositions. In the second part of the thesis, I explore how we can reason probabilistically about de se uncertainty. I start by defining probabilities over centred propositions, and investigate what probabilities mean in this context. As it turns out, all the main interpretations of probability can be extended to centred propositions. The only trouble seems to arise for the Bayesian principle of updating via conditionalization. After giving a diagnosis of the problem, I offer a solution by formulating a natural extension of conditionalization, which I argue preserves the essential features of Bayesian reasoning. In the final chapter, I apply my view and show that it leads to a natural resolution of a puzzle (known as the Sleeping Beauty problem) that is generally taken to be a test case for any account of centred updating.B Philosophy (General)London School of Economics and Political Science (University of London)10.21953/lse.b2wsi6xbghk6https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745954http://etheses.lse.ac.uk/3735/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic B Philosophy (General)
spellingShingle B Philosophy (General)
Milano, Silvia
'De se' beliefs and centred uncertainty
description What kind of thing do you believe when you believe that you are in a certain place, that it is a certain time, and that you are a certain individual? What happens if you get lost, or lose track of the time? Can you ever be unsure of your own identity? These are the kind of questions considered in my thesis. Beliefs about where, when and who you are are what are called in the literature 'de se', or self-locating beliefs. This thesis examines how we can represent de se beliefs, and how we can reason about de se uncertainty. In the first part of the thesis, I present and motivate a specific account of the content of de se belief, based on the one given by David Lewis. On this account, the content of de se beliefs are centred propositions. I defend this view against a rival account, put forward by Robert Stalnaker, according to whom the content of de se beliefs are ordinary (non-centred) propositions. In the second part of the thesis, I explore how we can reason probabilistically about de se uncertainty. I start by defining probabilities over centred propositions, and investigate what probabilities mean in this context. As it turns out, all the main interpretations of probability can be extended to centred propositions. The only trouble seems to arise for the Bayesian principle of updating via conditionalization. After giving a diagnosis of the problem, I offer a solution by formulating a natural extension of conditionalization, which I argue preserves the essential features of Bayesian reasoning. In the final chapter, I apply my view and show that it leads to a natural resolution of a puzzle (known as the Sleeping Beauty problem) that is generally taken to be a test case for any account of centred updating.
author Milano, Silvia
author_facet Milano, Silvia
author_sort Milano, Silvia
title 'De se' beliefs and centred uncertainty
title_short 'De se' beliefs and centred uncertainty
title_full 'De se' beliefs and centred uncertainty
title_fullStr 'De se' beliefs and centred uncertainty
title_full_unstemmed 'De se' beliefs and centred uncertainty
title_sort 'de se' beliefs and centred uncertainty
publisher London School of Economics and Political Science (University of London)
publishDate 2018
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.745954
work_keys_str_mv AT milanosilvia desebeliefsandcentreduncertainty
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