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Entropy 2007, 9(1), 27-29; doi:10.3390/e9010027
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An Adaption of the Jaynes Decision Algorithm

Received: 7 September 2006 / Accepted: 23 January 2007 / Published: 31 January 2007
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Abstract

There are two types of decisions: given the estimated state of affairs, one decidesto change oneself in a certain way (that is best suited for the given conditions); given whatone is, one decides to change the state of affairs in a certain way (that is best suited for whatone wants for oneself). Jaynes' approach to decision theory accounts only for the first type ofdecisions, the case when one is just an observer of the external world and the decisiondoesn't change the world. However, many decisions involve the wish to transform theexternal environment. To account for this we need to add an additional step in Jaynes'proposed algorithm.
Keywords: decision theory; loss function; MaxEnt; Bayes decision theory; loss function; MaxEnt; Bayes
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Tarko, V. An Adaption of the Jaynes Decision Algorithm. Entropy 2007, 9, 27-29.

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