Fair Isaac Corporation

Sparkling Logic, Inc.

Carlos A Serrano-Morales

Marc Lerman

David J Mellor

Jean-Luc Marce

Chris W Werner

Carole-Ann Matignon

Eric Kintzer

Franck Mangin

Carole-Ann Berlioz-Matignon

Disclosed herein is a method of managing decision logic. The method includes receiving data, storing the data, and receiving a set of rules. A decision is generated based at least in part on the data and on the set of rules, and is a part of the decision logic. The decision logic is managed in a first mode or a second mode. When in the first mode or the second mode, the set of rules is managed in the context of the data by a first user. The managing includes reviewing and editing the set of rules for the decision logic in the context of the data. The editing is done by at least one of (i) modifying a rule in the set of rules, (ii) creating another rule and adding it to the set of rules and (iii) making an exception to a rule in the set of rules.

Contextual decision logic elicitation

The present invention is a method of creating decision logic. A first set of rules for the decision logic is received. The user is queried for data and this data is stored in a memory. A first decision is generated for a user based at least in part on the data. Input is received from the user for editing the first set of rules to create a new set of rules for the decision logic in the context of data. A final decision is generated derived at least in part from the data using the new set of rules.

A computer-implemented method described for making a recommendation with respect to a plurality of items using a plurality of adaptive models or agents. The described method includes receiving one or more business rules; receiving a request for a recommendation; receiving attributes relating to the request; activating one or more adaptive agents such that each activated adaptive agent generates one or more recommendations with respect to the items based at least in part on an evaluation of prior outcomes relating to the items; selecting from among the one or more recommendations at least one final recommendation; and displaying the at least one final recommendation to a user. Related apparatus, systems, techniques and articles are also described.

Rule-based management of adaptive models and agents

An approach is described for developing software that executes rules, such as business rules. A group of rule templates defines a rule structure for rules that may be executed by a rules engine. Separate ruleflow templates define tasks that entail the execution of rules. Each of the ruleflow templates associates a task with the group of rule templates. Because the ruleflow templates define the association between the tasks and the group of rule templates, during execution of the tasks a rules engine executes rules defined by the group of templates. User interfaces are automatically generated based on the group of rule templates. A user may interact with the user interfaces to edit the rules defined by the group of templates. After editing the rules, executing the tasks associated with the group of templates will cause execution of the modified rules.

Approach for re-using business rules

A novel approach for generating and updating rules allows non-technical users to create and modify rules. A rules generation system includes a rules engineer interface, user interfaces and a rules generator. The rules engineer interface is an interface through which a rules engineer, such as rules engineer, may generate templates. Templates contain data that define rule 'templates' that in turn specify a rule structure, rule elements that may be chosen by a user, and rule elements that may not be chosen by user. Templates may also define a set of choices, for example values, that user may choose for those rule elements. Templates may also be used to generate user interfaces. The user interfaces guide a user to create or edit rules.

User selectable approach for generating modifiable rules

The present invention is directed to a method and mechanism for using rules metaphors to implement rules and ruleflows. Examples of such rules metaphors include decision tables, trees, scoreboards, state transition diagrams, and questionaires. By providing a choice of different rules metaphors, a rule developer can advantageously tailor the framework by which rules are created and accessed to more closely match the specific processes or task being addressed.

Growing community of inventors

Sunnvale, CA, United States of America

Carlos A Serrano-Morales