Liên hệ giữa nguyên lý entropy cực đại và giả thiết độc lập có điều kiện trong logic xác suất

Hà Đặng Cao Tùng

Abstract


In the Probabilistic Logic, the single value of the truth probability of a sentence is calculated by adding some assumptions. By adding the Maximum Entropy Principle (MEP) the reasoning problem becomes a nonlinear optimization problem. In this note we assert the equivalence between the MEP and the Conditional Independence Assumption (CIA) and Randomness Assumption (RA) formulas for a class of Probabilistic Knowledge Base. Then instead of solving a nonlinear optimization problem to find the truth probability of a sentence, we can derive it from Calculua C and some CIA + RA formulas.


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Journal of Computer Science and Cybernetics ISSN: 1813-9663

Published by Vietnam Academy of Science and Technology