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Maximally standard automatic completion using a multi-valued decision diagram

  • US 10,318,703 B2
  • Filed: 10/14/2016
  • Issued: 06/11/2019
  • Est. Priority Date: 01/19/2016
  • Status: Active Grant
First Claim
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1. A method comprising:

  • storing, in a memory, data representative of a multi-valued decision diagram (MDD) specifying a buildable space of all possible configurations of a vehicle, the MDD including a root node, a truth node, and at least one level of intervening nodes, each level of the MDD corresponding to a family of mutually-exclusive features represented by at least one node, each intervening node of a level connecting to nodes of a next adjacent level by outgoing edges having labels indicating valid features of the family and to nodes of a prior adjacent level by incoming edges that are outgoing edges of the prior adjacent level, such that a complete path from the root node through the outgoing edges to the truth node defines at least one of the valid configurations;

    identifying a minimally complete configuration including features having Selected and Included feature states;

    generating a restricted buildable space of the MDD based on the minimally complete configuration;

    generating a further restricted buildable space of the MDD including features having Default feature states, includingidentifying families that do not include features with Selected or Included feature states as families to change,determining a weight of each path in the restricted buildable space, indicative of a priority of the features along the path based on predetermined data,identifying the maximum weight of all paths,removing configurations having weights that are less than the maximum weight, andfor each family to change along the maximum weight path, set the highest priority feature to the Default feature state;

    wherein each family along the maximum weight path includes a feature having a Selected, Included or Default feature state to generate a complete configuration.

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