Systems, methods, and other embodiments are disclosed that are configured to automatically complete the generation of task structures in a project plan. In one embodiment, user data is generated by monitoring interactions of a user with a computer user interface when forming a task structure in a project plan. The user data is compared to learned behavior data. The learned behavior data represents reusable patterns derived from information associated with user creation of previous task structures. If, based on the comparison, the user data matches a reusable pattern of the learned behavior data, a prompt is displayed to the user indicating an option to accept or reject automated completion of the task structure. In response to receiving an acceptance from the user, the forming of the task structure is automatically completed in the project plan based on the matching reusable pattern.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method implemented by a computing device configured to execute a computer application, wherein the computer application is configured to process data in electronic form, the method comprising: generating first data by monitoring interactions of a user with at least one computer user interface when forming a task structure in a project plan; comparing the first data to learned behavior data, wherein the learned behavior data represents reusable patterns derived from information associated with user creation of previous task structures; if, based on the comparing, the first data matches a reusable pattern of the learned behavior data, displaying a prompt to the user indicating an option to accept or reject automated completion of the task structure; and in response to receiving an acceptance from the user, automatically completing the task structure in the project plan based at least in part on the reusable pattern. 2. The method of claim 1, further comprising reading the learned behavior data from a database device. 3. The method of claim 1, further comprising generating the learned behavior data at least in part by analyzing the information associated with the user creation of the previous task structures for repeated user actions. 4. The method of claim 1, further comprising generating the learned behavior data at least in part by analyzing historical data for repeated user actions, wherein the historical data is associated with user creation of historical task structures in at least one historical project plan. 5. The method of claim 1, further comprising: reading the learned behavior data from a data structure of historical behavior data; generating second data by monitoring the interactions of the user with the at least one computer user interface when forming other task structures in the project plan; analyzing the second data for repeated user actions; and updating the learned behavior data based on the analyzing. 6. The method of claim 1, wherein the monitoring of the interactions of the user with the at least one computer user interface when forming the task structure in the project plan comprises monitoring the interactions of the user with a graphical user interface when forming the task structure in the project plan. 7. The method of claim 1, further comprising: after automatically completing the task structure, generating second data by monitoring the interactions of the user with the at least one computer user interface when modifying at least the task structure; analyzing the second data for repeated user actions; and updating the learned behavior data based on the analyzing. 8. The method of claim 7, wherein the monitoring of the interactions of the user with the at least one computer user interface when modifying at least the task structure comprises monitoring the interactions of the user with a graphical user interface when modifying at least the task structure. 9. The method of claim 1, further comprising: after automatically completing the task structure, generating second data by monitoring the interactions of the user with the at least one computer user interface when forming a modification to the task structure; displaying a second prompt to the user, in response to the second data, indicating an option to accept or reject automated modification for at least one other task structure in the project plan that has a same configuration as the task structure; and in response to receiving a second acceptance from the user, automatically modifying the at least one other task structure with the modification. 10. The method of claim 9, wherein the monitoring of the interactions of the user with the at least one computer user interface when forming the modification to the task structure comprises monitoring the interactions of the user with a graphical user interface when forming the modification to the task structure. 11. A computing system, comprising: at least one computer user interface configured to facilitate at least editing of an electronic project plan by a user; a monitoring module, including instructions stored in a non-transitory computer-readable medium, configured to generate user data by monitoring interactions of the user with the at least one computer user interface when forming a task structure in the project plan; a learning module, including instructions stored in the non-transitory computer-readable medium, configured to generate learned behavior data having reusable patterns by analyzing at least information associated with user creation of previous task structures for repeated user actions; and a matching module, including instructions stored in the non-transitory computer-readable medium, configured to compare the user data to the learned behavior data to determine if the user data matches a reusable pattern of the learned behavior data. 12. The computing system of claim 11, further comprising an auto-completion module, including instructions stored in the non-transitory computer-readable medium, configured to automatically complete the task structure in the project plan based at least in part on the reusable pattern. 13. The computing system of claim 11, wherein the learning module is further configured to update the learned behavior data based at least in part on analyzing the user data for repeated user actions. 14. The computing system of claim 11, further comprising a database device configured to store at least the learned behavior data. 15. The computing system of claim 14, further comprising a visual user interface module, including instructions stored in the non-transitory computer-readable medium, configured to: provide a graphical user interface of the at least one computer user interface; facilitate reading of the learned behavior data from the database device into at least one of the learning module or the matching module via the graphical user interface; and facilitate at least the editing of the electronic project plan by the user. 16. The computing system of claim 15, further comprising a display screen configured to display and facilitate the interactions of the user with at least the graphical user interface. 17. A non-transitory computer-readable medium storing computer-executable instructions that are part of an algorithm that, when executed by a computer, cause the computer to perform functions, wherein the instructions comprise: instructions for generating first data by monitoring interactions of a user with at least one computer user interface when forming a task structure in a project plan; instructions for comparing the first data to learned behavior data, wherein the learned behavior data represents reusable patterns derived from information associated with user creation of previous task structures; and instructions for if, based on the comparing, the first data matches a reusable pattern of the learned behavior data, automatically completing the task structure in the project plan based at least in part on the reusable pattern. 18. The non-transitory computer-readable medium of claim 17, wherein the instructions further include instructions configured for: reading the learned behavior data from a data structure of historical behavior data; generating second data by monitoring the interactions of the user with the at least one computer user interface when forming other task structures in the project plan; analyzing the second data for repeated user actions; and updating the learned behavior data based on the analyzing. 19. The non-transitory computer-readable medium of claim 17, wherein the instructions further include instructions configured for: after automatically completing the forming of the task structure, generating second data by monitoring the interactions of the user with the at least one computer user interface when modifying at least the task structure; analyzing the second data for repeated user actions; and updating the learned behavior data based on the analyzing. 20. The non-transitory computer-readable medium of claim 17, wherein the instructions further include instructions configured for: after automatically completing the task structure, generating second data by monitoring the interactions of the user with the at least one computer user interface when forming a modification to the task structure; and automatically modifying at least one other task structure in the project plan, that has a same configuration as the task structure, with the modification.