Summary
"Imprecise Probability Models of Rational Belief.
The goal of this project is to provide a philosophically well founded theory of rational belief based on ""Imprecise Probabilities""(IP). That is, instead of the orthodox Bayesian approach to modelling belief using probability functions, the IP approach uses a set of probability functions as the representation of belief. This promises to be a more foundationally secure, more normatively compelling, more descriptively accurate and more representationally powerful theory of rational belief. The project consists of three parts. The first analyses the basic concept of IP, and the methodology of formal epistemology more generally. The second explores learning and inference in an IP setting, and the third focusses on decision making with IP."
The goal of this project is to provide a philosophically well founded theory of rational belief based on ""Imprecise Probabilities""(IP). That is, instead of the orthodox Bayesian approach to modelling belief using probability functions, the IP approach uses a set of probability functions as the representation of belief. This promises to be a more foundationally secure, more normatively compelling, more descriptively accurate and more representationally powerful theory of rational belief. The project consists of three parts. The first analyses the basic concept of IP, and the methodology of formal epistemology more generally. The second explores learning and inference in an IP setting, and the third focusses on decision making with IP."
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/792292 |
| Start date: | 01-08-2018 |
| End date: | 29-01-2021 |
| Total budget - Public funding: | 183 454,80 Euro - 183 454,00 Euro |
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Original description
"Imprecise Probability Models of Rational Belief.The goal of this project is to provide a philosophically well founded theory of rational belief based on ""Imprecise Probabilities""(IP). That is, instead of the orthodox Bayesian approach to modelling belief using probability functions, the IP approach uses a set of probability functions as the representation of belief. This promises to be a more foundationally secure, more normatively compelling, more descriptively accurate and more representationally powerful theory of rational belief. The project consists of three parts. The first analyses the basic concept of IP, and the methodology of formal epistemology more generally. The second explores learning and inference in an IP setting, and the third focusses on decision making with IP."
Status
CLOSEDCall topic
MSCA-IF-2017Update Date
28-04-2024
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