Savage concentrated on building a small world, which is not a probabilistic, but the definite world, in which sure‐thing principle works. He reached Kullback‐Leibler’s information through Bayes’ theorem, in which he intends to improve personal probability as the a posteriori probability. However, he stopped his thinking there. Akaike obtained Akaike Information Criterion (AIC) by starting from the K‐L information. AIC enables us to evaluate which model is the closest to the true value which we cannot recognise. If we call the context of sure‐thing principle personal probability, Bayes’ theorem and AIC the logical structure of information, the author thinks we have the same structure in relation to the Japanese production and distribution system.
Seto, H. (1998), "Logical structure of information in relation to Japanese production and distribution ", Logistics Information Management, Vol. 11 No. 4, pp. 213-223. https://doi.org/10.1108/09576059810226776Download as .RIS
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