Client decision-making behavioral preferences for evaluating or coping with unknown outcomes (risk temperament or “RT”) and absorbing information (preference typology or “PT”) during decision-making events are identified and classified by processing client responses to questions. Behavioral preferences are classified and stored in a behavior-influenced decision-making data set (BDDS). The simulator also receives an objective decision-making data set (ODDS) of factually objective inputs. The simulator combines and triangulates the PT and RT information contained in the BDSS with the ODDS and derives a new data set of resultant output goals (OGDS). The transformed OGDS output is displayed as a triangulation of the simulator's RT, PT, and ODDS, with a balanced OGDS displayed as a bubble or spirit level. Out of balance status identifies deviation from intended outcome. OGDS decision-making tools can be recursively combined as modular blocks to create decision-making tools for other desired outcomes.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An electronic simulator tool for generating a reusable behavior-influenced decision-making data set (BDDS) module defining behavioral risk temperament and preference typology characteristics of an individual client, the electronic simulator tool comprising a controller platform utilizing an operating system and microinstruction code for generating, storing and accessing the reusable BDDS module, the controller platform including: a communication bus for effectuating communication between a plurality of separate devices, the plurality of separate devices including a first memory element for storing a predetermined set of risk temperament (RT) classifications and a predetermined set of preference typology (PT) classifications; a second memory element for storing a predetermined set of questions used in evaluating the individual client; a client input interface for providing a communication path between an individual client's communication device and the controller platform; a processor responsive to microinstruction code for: receiving responses to the predetermined set of questions from the individual client via the client input interface; processing the responses to generate an RT value and a PT value for the individual client; comparing the RT value to the predetermined set of RT classifications to select a proper RT classification for the individual client; comparing the PT value to the predetermined set of PT classifications to select a proper PT classification for the individual client; and defining the proper RT and PT classifications as a generated BDDS profile for the individual client; a third memory element for storing the generated BDDS profile as the reusable BDDS module for the individual client; and a facilitator output interface to the third memory element for allowing third party access to the reusable BDDS module, for use in performing client treatment planning. 2. The electronic simulator tool as defined in claim 1 wherein the facilitator output interface to the third memory element includes a control component, configured to permit only authorized third parties to access the reusable BDDS module stored in the third memory element. 3. The electronic simulator tool as defined in claim 1 wherein the processor is further responsive to microinstruction code to: access the third memory element and retrieve the reusable BDDS module; receive, via the client input interface, a set of objective decision-making client data associated with client planning as defined by the facilitator; weight the received set of objective decision-making client data by the client's proper PT and RT classifications stored in the reusable BDDS module to create a set of resultant output goals specific to the client planning purposes of the facilitator; and generating, as an output, the set of resultant output goals. 4. The electronic simulator tool as defined in claim 3 wherein the processor is accessible via the facilitator output interface by a plurality of different authorized third parties all associated with the same individual client, each third party using a different set of objective decision-making client data, wherein each third party accesses and uses the same reusable BDDS module and the proper RT and PT classifications stored therein. 5. The electronic simulator tool as defined in claim 1 wherein the plurality of devices accessible along the communication bus further comprises an update component for collecting updated answers to selected ones of predetermined set of questions from the client via the client input interface and generating an updated RT classification to replace the proper RT classification currently stored in the reusable BDDS module in the third memory element. 6. The electronic simulator tool as defined in claim 1 wherein the set of predetermined questions stored in the second memory element includes a set of psychologically validated open-ended questions for generating the RT value associated with the individual client and a set of predetermined multiple choice questions for generating the PT value associated with the individual client. 7. An electronic simulator visual display system for generating visualization output results of a reusable behavior-influenced decision-making data set (BDDS) module of behavioral risk temperament and preference typology characteristics that are associated with an individual client, the electronic simulator visual display system comprising a controller platform utilizing an operating system and microinstruction code for generating, storing and accessing the reusable BDDS module, the controller platform including: a communication bus for effectuating communication between a plurality of separate devices, the plurality of separate devices including a first memory element for storing a predetermined set of risk temperament (RT) classifications and a predetermined set of preference typology (PT) classifications; a second memory element for storing a predetermined set of questions used in evaluating the individual client; a client input interface for providing a communication path between an individual client's communication device and the controller platform; a processor responsive to microinstruction code for: receiving responses to the predetermined set of questions from the individual client via the client input interface; processing the responses to generate an RT value and a PT value for the individual client; comparing the RT value to the predetermined set of RT classifications to select a proper RT classification for the individual client; comparing the PT value to the predetermined set of PT classifications to select a proper PT classification for the individual client; and defining the proper RT and PT classifications as a generated BDDS profile for the individual client; a third memory element for storing the generated BDDS profile as the reusable BDDS module for the individual client; a facilitator output interface to the third memory element for allowing third party access to the reusable BDDS module, for use in performing goal-specific third party objectives; a human machine interface (HMI) for accessing the third memory element and the reusable BDDS module, the HMI operable to generate image-based data associated with the reusable BDDS module; and a display device in communication with the HMI of the controller platform, the display device responsive to the image-based data for providing a visual realization of the proper RT and PT classifications stored in the reusable BDDS module, the visual realization in the form of separate visual sectors, a first visual sector illustrating the predetermined set of RT classifications with the proper RT classification presented in a visually-distinct manner with respect to the remaining set of RT classifications, and a second visual sector illustrating the predetermined set of PT classifications with the proper PT classification presented in a visually-distinct manner with respect to the remaining set of PT classifications. 8. The electronic simulator visual display system as defined in claim 7 wherein the processor is further responsive to microcode instructions to: access the third memory element and retrieve the reusable BDDS module; receive, via the client input interface, a set of objective decision-making client data associated with client planning as defined by the facilitator; weight the received set of objective decision-making client data by the client's proper RT and PT classifications stored in the reusable BDDS module to create resultant output goals specific to the client planning purposes of the facilitator; and present, on the display device, the received set of objective decision-making client data in a third visual sector, with the first, second, and third visual sectors configured to create a triangular visualization, with the resultant output goals displayed in a centralized area determined by performing a triangulation on data displayed in the first, second, and third visual sectors. 9. The electronic simulator visual display system as defined in claim 8 wherein the triangulation results shown in the centralized area of the display device is configured to include a balance indicator, displaying weighting contributions from the first, second, and third visual sections such that any non-proportional weighting among the RT, PT and objective data classifications is visualized as an out-of-balance triangulation result. 10. The electronic simulator visual display system as defined in claim 9 wherein the balance indicator comprises a donut-like image with a level bubble displayed in a center portion, wherein the balancing between the first, second and third sectors is illustrated by the position of the level bubble. 11. The electronic simulator visual display system as defined in claim 9 wherein the processor is responsive to the out-of-balance image and initiates a corrective process including modifying one or more of the RT, PT and objective data classifications and performing an updated triangulation process until a balanced output is achieved. 12. The electronic simulator visual display system as defined in claim 7 wherein the first visual sector comprises a color wheel having shades of a first color, with the proper RT classification exhibiting an enhanced color with respect to the remaining classifications of the predetermined set of RT classifications; the second visual sector comprises a color wheel having shades of a second color, with the selected, proper PT classification exhibiting an enhanced color with respect to the remaining classifications of the predetermined set of PT classifications; and the third visual sector comprises a color wheel having shades of a third color, with each separate objective data classification exhibiting a different shade. 13. The electronic simulator visual display system as defined in claim 6 wherein the predetermined questions stored in the second memory element includes a set of psychologically validated open-ended questions for generating the RT value of the individual client and a set of predetermined multiple choice questions for generating the PT value of the individual client. 14. A process for creating a reusable behavior-influenced decision-making data set (BDDS) module of behavior-related risk temperament and preference typology characteristics of an individual client, including accessing a collection of data structures in computer readable memory, including a first memory element for storing a predetermined set of risk temperament (RT) classifications and a predetermined set of preference typology (PT) classifications; a second memory element for storing a predetermined set of questions used in evaluating the individual client; a third memory element for storing the BDDS profile as the reusable BDDS module for the individual client and using a processor responsive to instructions stored as non-transitory program code for: receiving responses to the predetermined set of questions from the individual client via a client input interface; processing the responses to generate an RT value and a PT value for the individual client; comparing the RT value to the predetermined set of RT classifications to select a proper RT classification for the individual client; comparing the PT value to the predetermined set of PT classifications to select a proper PT classification for the individual client; defining the proper RT and PT classifications as a generated BDDS profile for the individual client; and storing the generated BDDS profile as the reusable BDDS module for the individual client in the third memory element. 15. The process as defined in claim 14 wherein the process further comprises: accessing the third memory element to retrieve a selected reusable BDDS module for use in individual client planning. 16. The process as defined in claim 14 wherein the predetermined set of questions stored in the second memory element includes a set of psychologically validated open-ended questions for generating the RT value of the individual client and a set of predetermined multiple choice questions for generating the PT value of the individual client. 17. A process for creating a set of resultant output goals from a combination of reusable behavior-influenced decision-making data set (BDDS) module of behavior-related risk temperament and preference typology characteristics of an individual client and a factually objective data associated with at least one specific goal of an individual client, the process including accessing a collection of data structures in computer readable memory, including a first memory element for storing a predetermined set of risk temperament (RT) classifications and a predetermined set of preference typology (PT) classifications; a second memory element for storing a predetermined set of questions used in evaluating the individual client; a third memory element for storing the BDDS profile as the reusable BDDS module for the individual client; collecting a factually objective data set from the individual client; and using a processor responsive to instructions stored as non-transitory program code for: receiving responses to the predetermined set of questions from the individual client via a client input interface; processing the responses to generate an RT value and a PT value for the individual client; comparing the RT value to the predetermined set of RT classifications to select a proper RT classification for the individual client; comparing the PT value to the predetermined set of PT classifications to select a proper PT classification for the individual client; and defining the proper RT and PT classifications as a generated BDDS profile for the individual client; storing the proper RT and PT classifications in the third memory element as the generated reusable BDDS module for the individual client; and weighting the collected factual objective data set by the proper RT and PT classifications to generate an output goal data set (OGDS) for use by the individual client. 18. The process as defined in claim 17 wherein the factually objective data set collected from the individual client is associated with a plurality of separate individual goals and the collecting step of the process collects a plurality of different sets of objective data, wherein in performing the weighting step of the process the following steps are performed: weighting each separate factually objective data set with the proper RT and PT classifications; and generating a separate output goal data set of each individual goal. 19. The process as defined in claim 18 wherein a group of three different output goal data sets are created for the individual client, with the results of the group triangulated and combined to an create integrated client planning tool based upon a combination of the plurality of individual goals. 20. The process as defined in claim 18 wherein groups of three different output goal data sets are created in a hierarchical form, wherein any modifications to the RT and PT classifications at any level of the hierarchical form are applied to the other levels in a recursive manner until a new balanced condition is achieved.