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Introduction"},{"canvases":["https://noah.nrw/i3f/v20/5128782/canvas/5607976","https://noah.nrw/i3f/v20/5128782/canvas/5607977","https://noah.nrw/i3f/v20/5128782/canvas/5607978"],"@id":"https://noah.nrw/i3f/v20/5128782/range/5607975","@type":"sc:Range","label":"2. Motivation: Bayesianism with multiple priors"},{"canvases":["https://noah.nrw/i3f/v20/5128782/canvas/5607980","https://noah.nrw/i3f/v20/5128782/canvas/5607981","https://noah.nrw/i3f/v20/5128782/canvas/5607982"],"@id":"https://noah.nrw/i3f/v20/5128782/range/5607979","@type":"sc:Range","label":"3. The aggregation of probability measures"},{"canvases":["https://noah.nrw/i3f/v20/5128782/canvas/5607984","https://noah.nrw/i3f/v20/5128782/canvas/5607985","https://noah.nrw/i3f/v20/5128782/canvas/5607986"],"@id":"https://noah.nrw/i3f/v20/5128782/range/5607983","@type":"sc:Range","label":"4. A generalised aggregation theory for probability measures \u00e0 la McConway and Arrow"},{"canvases":["https://noah.nrw/i3f/v20/5128782/canvas/5607988","https://noah.nrw/i3f/v20/5128782/canvas/5607989","https://noah.nrw/i3f/v20/5128782/canvas/5607990","https://noah.nrw/i3f/v20/5128782/canvas/5607991"],"@id":"https://noah.nrw/i3f/v20/5128782/range/5607987","@type":"sc:Range","label":"5. Proofs"},{"canvases":["https://noah.nrw/i3f/v20/5128782/canvas/5607993"],"@id":"https://noah.nrw/i3f/v20/5128782/range/5607992","@type":"sc:Range","label":"6. Discussion and 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