Abstract
In this chapter we describe a rational, but low resolution, model of probability. We do this for two reasons: first, to show how a naive theory, using only discrete categories, can still explain how people think about uncertainty, and second, as a model for fitting discrete theories of valuation (which arise in many other contexts from moral judgments to household finance) into the overall 4lang framework.
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Kornai, A. (2023). Valuations and learnability. In: Vector Semantics. Cognitive Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-19-5607-2_5
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DOI: https://doi.org/10.1007/978-981-19-5607-2_5
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-5606-5
Online ISBN: 978-981-19-5607-2
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