Abstract
The aim of this work is to present an algorithm inspired to Bruno de Finetti’s decision theory, limited to the version proposed by him in the essay “La probabilità: guida nel pensare e nell’agire” released in 1965. This work is focused on decision theory within the subjective theory of probability conceived by de Finetti. It opens with a brief overview of his theory of probability, followed by a methodological analysis functional to introduce the renowned de Finetti’s example model given for the solution of decision problems. Starting from this example, this work presents a mathematical generalization of the decision algorithm. Afterwards, a real decisional algorithm written in mathematical-style pseudo code is developed. Finally, some conclusive remarks are discussed along with possible future developments.
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Bucciarelli, E., Mattoscio, N., Erasmo, V. (2018). Understanding Bruno de Finetti’s Decision Theory: A Basic Algorithm to Support Decision-Making Behaviour. In: Bucciarelli, E., Chen, SH., Corchado, J. (eds) Decision Economics: In the Tradition of Herbert A. Simon's Heritage. DCAI 2017. Advances in Intelligent Systems and Computing, vol 618. Springer, Cham. https://doi.org/10.1007/978-3-319-60882-2_8
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DOI: https://doi.org/10.1007/978-3-319-60882-2_8
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