
doi: 10.1007/bfb0028196
handle: 11573/403607
We consider a probabilistic knowledge base represented by a conditional probability assessment on an arbitrary finite family of conditional events. Following the approach of de Finetti to conditional events, we use the concept of generalized atom to introduce a suitable matrix representing the truth values of the given conditional events. Moreover, we prove some theoretical results, by means of which using the linear programming technique a procedure to check the probabilistic consistency of the given knowledge base can be easily constructed. Finally, a simple example is examined.
Subjective probability; probabilistic consistency; knowledge bases; coherence; algorithms.
Subjective probability; probabilistic consistency; knowledge bases; coherence; algorithms.
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