ADAPTIVE BUSINESS PROCESS AUTOMATION

• US 20130124450A1
• Filed: 01/10/2013
• Published: 05/16/2013
• Est. Priority Date: 04/29/2010
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Drory, Tal, Geva, Amir, Walach, Eugene
• Granted Patent: US 8,635,170 B2
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: G06N 7/02 using fuzzy logic computing arrangements based on biological models G06N3/00; computing arrangements using knowledge-based models G06N5/00
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters

Abstract

A method, system and computer software product are provided for process automation. The method includes monitoring one or more workstations to obtain multiple sets of character and graphical information including user actions, times and durations associated with the user actions, user-entered data, and retrieved character and graphical screen data. The method further includes identifying functional events from the sets, defining focal states as respective historic patterns of the functional events, and generating a set of facilitating scripts associated with respective ones of the focal states. The facilitating scripts each provide one or more automatic actions in the workstations. At least a portion of the set of facilitating scripts are then executed.

Claims

1-21. -21. (canceled)

22. A method for process automation, comprising the steps of:

monitoring one or more workstations to obtain multiple sets of character and graphical information from the workstations that include user actions, times and durations associated with the user actions, user-entered data, retrieved character screen data and graphical screen data;

identifying functional events from an automatic analysis of the sets, wherein the functional events comprise at least the durations associated with the user actions;

automatically defining focal states as respective historic patterns of the functional events;

generating a set of facilitating scripts associated with respective ones of the focal states, wherein the facilitating scripts each provide one or more automatic actions in the workstations; and

thereafter executing at least a portion of the set of facilitating scripts,

wherein said steps are implemented in either;

computer hardware configured to perform said steps, or computer software embodied in a non-transitory, tangible, computer-readable storage medium.

23. The method according to claim 22, wherein executing comprises:

matching a pattern of the functional events to one of the focal states; and

applying the one or more automatic actions of a selected member of the set of facilitating scripts associated with the one focal state.

24. The method as claimed in claim 23, wherein matching a pattern of the functional events includes fuzzy matching.

25. The method according to claim 22, wherein executing comprises obtaining a measurement of a predetermined cost function, the method further comprising the steps of:

after performing the step of executing, perturbing the executed facilitating scripts to generate adapted facilitating scripts;

iterating the step of executing using respective adapted facilitating scripts as the facilitating scripts to obtain new measurements of the cost function; and

respectively optimizing the adapted facilitating scripts by penalizing ones of the adapted facilitating scripts having new measurements that increase the cost function and encouraging others of the adapted facilitating scripts having new measurements that reduce the cost function with respect to previous instances of the adapted facilitating scripts.

26. A computer software product for process automation, including a non-transitory computer-readable storage medium in which computer program instructions are stored, which instructions, when executed by a computer, cause the computer to perform the steps of:

monitoring one or more workstations to obtain multiple sets of character and graphical information from the workstations that include user actions, times and durations associated with the user actions, user-entered data, retrieved character screen data and graphical screen data;

identifying functional events from an automatic analysis of the sets, wherein the functional events comprise at least the durations associated with the user actions;

automatically defining focal states as respective historic patterns of the functional events;

generating a set of facilitating scripts associated with respective ones of the focal states, wherein the facilitating scripts each provide one or more automatic actions in the workstations; and

thereafter executing at least a portion of the set of facilitating scripts.

27. The computer software product according to claim 26, wherein executing comprises:

matching a pattern of the functional events to one of the focal states; and

applying the one or more automatic actions of a selected member of the set of facilitating scripts associated with the one focal state.

28. The computer software product as claimed in claim 27, wherein matching a pattern of the functional events includes fuzzy matching.

29. The computer software product according to claim 26, wherein executing comprises obtaining a measurement of a predetermined cost function, the method further comprising the steps of:

after performing the step of executing perturbing the executed facilitating scripts to generate adapted facilitating scripts;

iterating the step of executing using respective adapted facilitating scripts as the facilitating scripts to obtain new measurements of the cost function; and

respectively optimizing the adapted facilitating scripts by penalizing ones of the adapted facilitating scripts having new measurements that increase the cost function and encouraging others of the adapted facilitating scripts having new measurements that reduce the cost function with respect to previous instances of the adapted facilitating scripts.

30. A data processing system for process automation, comprising:

a processor;

a memory accessible to the processor storing programs and data objects therein, the programs including a monitoring agent, an automation mechanism and an adaptive mechanism, wherein execution of the programs cause the processor to perform the steps of;

invoking the monitoring agent for monitoring one or more workstations to obtain multiple sets of character and graphical information from the workstations that include user actions, times and durations associated with the user actions, user-entered data, retrieved character screen data and graphical screen data; and

invoking the automation mechanism to perform the steps of;

identifying functional events from an automatic analysis of the sets, wherein the functional events comprise at least the durations associated with the user actions, automatically defining focal states as respective historic patterns of the functional events, and generating a set of facilitating scripts associated with respective ones of the focal states, wherein the facilitating scripts each provide one or more automatic actions in the workstations,

wherein the processor is operative for thereafter executing at least a portion of the set of facilitating scripts.

31. The data processing system according to claim 30, wherein executing comprises:

matching a pattern of the functional events to one of the focal states; and

applying the one or more automatic actions of a selected member of the set of facilitating scripts associated with the one focal state.

32. The data processing system as claimed in claim 31, wherein matching a pattern of the functional events includes fuzzy matching.

33. The data processing system according to claim 30, wherein executing comprises invoking the adaptive mechanism to perform the steps of:

obtaining a measurement of a predetermined cost function;

perturbing the executed facilitating scripts to generate adapted facilitating scripts;

iterating the step of executing using respective adapted facilitating scripts as the facilitating scripts to obtain new measurements of the cost function; and

respectively optimizing the adapted facilitating scripts by penalizing ones of the adapted facilitating scripts having new measurements that increase the cost function and encouraging others of the adapted facilitating scripts having new measurements that reduce the cost function with respect to previous instances of the adapted facilitating scripts.