Probabilistic Explanatory Method and System

1 . A computer-implemented explanatory method comprising:

generating automatically an affinity value by applying a computer-implemented neural network to a content object comprising a first plurality of syntactical elements;

generating automatically a vector that comprises an arrangement of values, wherein the arranged values include the affinity value;

generating automatically explanatory information in accordance with the vector, wherein the explanatory information comprises a first syntactical element that is selected automatically from a second plurality of syntactical elements in accordance with a first probability and a second syntactical element that is selected automatically from the second plurality of syntactical elements in accordance with the first syntactical element and a second probability;

assessing automatically the explanatory information;

responsive to the assessing of the explanatory information, selecting automatically a third syntactical element from the second plurality of syntactical elements in accordance with a third probability;

responsive to the selecting of the third syntactical element, selecting automatically a fourth syntactical element from the second plurality of syntactical elements in accordance with a fourth probability;

generating automatically a communication comprising the third syntactical element and the fourth syntactical element; and

providing the communication to a user.

2 . The method of claim 1 , further comprising generating the explanatory information, wherein the explanatory information comprises elements that are structured hierarchically.

3 . The method of claim 1 , further comprising generating the explanatory information, wherein the explanatory information comprises a rationale.

4 . The method of claim 1 , further comprising generating the explanatory information, wherein the explanatory information comprises a representation of a level of confidence.

5 . The method of claim 1 , further comprising generating the explanatory information, wherein the explanatory information comprises a theme that is derived from the vector.

6 . The method of claim 1 , further comprising assessing the explanatory information by assessing logic that is represented by the explanatory information.

7 . The method of claim 1 , further comprising assessing the explanatory information based on an interaction by a human user with respect to the explanatory information.

8 . A computer-implemented explanatory system comprising one or more processor-based devices configured to:

generate automatically an affinity value by applying a computer-implemented neural network to a content object comprising a first plurality of syntactical elements;

generate a vector that comprises an arrangement of values, wherein the arranged values include the affinity value;

generate automatically explanatory information in accordance with the vector, wherein the explanatory information comprises a first syntactical element that is selected automatically from a second plurality of syntactical elements in accordance with a first probability and a second syntactical element that is selected automatically from the second plurality of syntactical elements in accordance with the first syntactical element and a second probability;

assess automatically the explanatory information;

responsive to the assessing of the explanatory information, select automatically a third syntactical element from the second plurality of syntactical elements in accordance with a third probability;

responsive to the selecting of the third syntactical element, select automatically a fourth syntactical element from the second plurality of syntactical elements in accordance with a fourth probability;

generate automatically a communication comprising the third syntactical element and the fourth syntactical element; and

provide the communication to a user.

9 . The system of claim 8 , further comprising the one or more processor-based devices configured to apply the computer-implemented neural network to the content object, wherein the content object comprises an image.

10 . The system of claim 8 , further comprising the one or more processor-based devices configured to generate the explanatory information, wherein the explanatory information comprises elements that are structured as nodes and relationships among the nodes.

11 . The system of claim 8 , further comprising the one or more processor-based devices configured to generate the explanatory information, wherein the explanatory information comprises a rationale.

12 . The system of claim 8 , further comprising the one or more processor-based devices configured to generate the explanatory information, wherein the explanatory information comprises a representation of a level of confidence that is embodied by a probability.

13 . The system of claim 8 , further comprising the one or more processor-based devices configured to generate the explanatory information, wherein the explanatory information comprises a theme that is derived from the vector.

14 . The system of claim 8 , further comprising the one or more processor-based devices configured to assess the explanatory information, wherein the assessing is based on an interaction by a human user with respect to the explanatory information.

15 . A computer-implemented explanatory system comprising one or more processor-based devices configured to:

generate automatically an affinity value by applying a computer-implemented neural network to a content object comprising a first plurality of syntactical elements;

generate a vector that comprises an arrangement of values, wherein the arranged values include the affinity value;

generate automatically explanatory information in accordance with the vector, wherein the explanatory information comprises a first syntactical element that is selected automatically from a second plurality of syntactical elements in accordance with a first probability and a second syntactical element that is selected automatically from the second plurality of syntactical elements in accordance with the first syntactical element and a second probability;

assess automatically the explanatory information based on an action by a human user with respect to the explanatory information;

responsive to the assessing of the explanatory information, select automatically a third syntactical element from the second plurality of syntactical elements in accordance with a third probability;

responsive to the selecting of the third syntactical element, select automatically a fourth syntactical element from the second plurality of syntactical elements in accordance with a fourth probability;

generate automatically a communication comprising the third syntactical element and the fourth syntactical element; and

provide the communication to the human user.

16 . The system of claim 15 , further comprising the one or more processor-based devices configured to generate the explanatory information, wherein the explanatory information comprises a rationale.

17 . The system of claim 15 , further comprising the one or more processor-based devices configured to generate the explanatory information, wherein the explanatory information comprises a representation of a level of confidence.

18 . The system of claim 15 , further comprising the one or more processor-based devices configured to generate the explanatory information, wherein the explanatory information comprises a theme that is derived from the vector.

19 . The system of claim 15 , further comprising the one or more processor-based devices configured to assess the explanatory information based on the action by the human user, wherein the action comprises requesting a communication be provided to the human user.

20 . The system of claim 15 , further comprising the one or more processor-based devices configured to assess the explanatory information, wherein the assessing of the explanatory information comprises assessing logic that is represented by the explanatory information.