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. 2016 Mar 10;101(7):1056–1066. doi: 10.1037/apl0000082

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© 2016 The Author(s)

This article has been published under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Copyright for this article is retained by the author(s). Author(s) grant(s) the American Psychological Association the exclusive right to publish the article and identify itself as the original publisher.

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Dynamic programming applied to a multistage decision task in which a consultant simultaneously strives to complete two projects within 10 weeks. The probability of completing a task in a given week on the project that is prioritized is 0.8, and the probability of completing a task on the project that is not prioritized is 0.3. In the diagrams representing Steps 2 and 4, the expected value for prioritizing Project A is shown in the top-left corner of each square; the expected value of prioritizing Project B is shown in the bottom-right corner; and the optimal decision is in bold.