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In this paragraph prime examples of Blueriq's logic contructions are given.
Of course it is subject to discussion whether one logic construction or another is used best, but that will be discussed in chapter 4. Design considerations.

Business rule

A prime example of a business rule is a rule that has a boolean as result. Let's say that any applicant can request a certain insurance, and all women receive a discount. In this particular case, a default constant value for Discount is set to False and a business rule can be created that overwrites this attribute to true whenever the applicant is female:

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A decision table is used best when the possible outcome of the logic is one of many values. Let's say that when applying for a certain loan, a risk category is determined. Based upon applicant characteristics such as recurrenc recurrence and a calculated risk score, the risk category is either verylowvery low, low, medium, high or decline.

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A default value, combined with an expression is used most often when the outcome of the logic is determined/calculated by some sort of formula. In most cases, the result will be a number, date or constructed string. See an example below, where the required monthly installment is determined by a formula containing - amongst others - monthly interest and monthly fee.

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Whenever the source of the logic is a set of data, that is preferrably preferably maintained and managed outside of the boundaries of the Blueriq model, a data rule might be used. The reason for this might be the size of the data set or the velocity of the content. Whenever the inferencing mechanism sources uses a value that is modeled in a data rule, the connection to the source will be is triggered.

A prime example of the use of a data rule is a discount table where the percentages differ on a frequent base. This way the percentage can be altered by sales without the need for changing and testing the model.

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