Conditional and Comparative Probabilities in Artificial Intelligence

Paolo Vicig
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Paolo Vicig: Università di Trieste, Dipartimento di Matematica Applicata ‘B. de Finetti’

A chapter in Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, 1995, pp 271-280 from Springer

Abstract: Abstract Some features of the connection between comparative and quantitative probabilities are examined in the context of a probabilistic approach to Artificial Intelligence. Coherent conditional probabilities are used: this makes it possible to work with sets of events which are not necessarily ‘structured’, but which arise in a natural way from the real problems being examined. Starting from some known relations comparing events by means of conditional probabilities, a more refined relation is introduced, which is a comparative probability. An application to realization problems is proposed in the final part.

Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4899-1424-8_19

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DOI: 10.1007/978-1-4899-1424-8_19

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