Automated bot development system

• US 7,039,654 B1
• Filed: 09/12/2002
• Issued: 05/02/2006
• Est. Priority Date: 09/12/2002
• Status: Active Grant

• Current Assignee: Xenogenic Development Limited Liability Company (Intellectual Ventures LLC)
• Original Assignee: Asset Trust, Inc.
• Inventors: Eder, Jeff Scott
• Primary Examiner(s): Homere, Jean R.
• Assistant Examiner(s): Lewis, Cheryl
• Application Number:
  US10/242,154
• Time in Patent Office: 1,328 Days
• Field of Search: 707/100, 707/104.1, 707/7, 705/1, 704/4, 704/8, 704/9, 717100-114
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

An automated system (100) and method for developing Complete Context™ Bots (30) for an organization. After extracting data from existing narrowly focused systems, mission measures and organization levels are defined for one or more organizations. The elements, factors and risks that contribute to mission measure performance by organization level and organization are systematically defined and stored in a ContextBase (60) using up to six context layers. ContextBase (60) information is extracted for specified combinations of context layers, organization levels and organizations as required to produce complete context frames that are used to support simulations of bot performance under a variety of scenarios. The program instructions that will maximize bot performance under the forecast scenarios are identified. After this programming is transferred to the Complete Context™ Bot (30), it is activated.

Claims

1. A bot containing instructions for execution in a computer method, the computer method comprising identifying and implementing an organization assignment for a plurality of contexts, wherein a context comprises one or more context layers, wherein a context layer is selected from the group consisting of physical, tactical, instant impact, mission measure, social environment, relationship and combinations thereof.

2. The bot of claim 1 where an organization is an entity with one or more measures or a combination of entities with one or more measures.

3. The bot of claim 2 where entities are selected from the group consisting of individuals, teams, departments, divisions, companies, government agencies, organizations, value chains, multi enterprise organizations and combinations thereof.

4. The bot of claim 2 where measures are selected from the group consisting of:

revenue, expense, change in capital, alliance value, brand value, channel value, customer value, customer relationship value, employee value, employee relationship value, human capital value, intellectual property value, investor value, investor relationship value, knowledge value, partner value, partner relationship value, process value, product value, project value, supplier value, supplier relationship value, support chain value, visitor value, workforce value, current operation value, real option value, investment value, derivative value, market sentiment value, market value, factor variability risk, element variability risk, market risk, industry market risk, market volatility, strategic event risk, extreme event risk, event risk, contingent liability and combinations thereof.

5. The bot of claim 1 where an organization assignment is selected from the group consisting of action completion, event completion, response to action requests from others, response to events, data collection and combinations thereof.

6. The bot of claim 1 where a context is defined in an automated fashion by learning from the data.

7. The bot of claim 1 where a context layer can be split into two or more layers.

8. The bot of claim 1 where a relationship context layer defines a plurality of relationships between one or more aspects of organization context and one or more ingredients driving organization performance.

9. The bot of claim 8 where one or more aspects of organization context are selected from the group consisting of physical status, action commitments and short term action plans, short term performance, social environment, long term performance and combinations thereof.

10. The bot of claim 8 where one or more ingredients driving organization performance are selected from the group consisting of elements of performance, resources, risks, external factors and combinations thereof.

11. The bot of claim 10 where an element of performance is selected from the group consisting of alliances, brands, channels, customers, customer relationships, employees, employee relationships, human capital, intellectual property, investors, investor relationships, knowledge, partners, partner relationships, processes, products, projects suppliers, supplier relationships, support chains, visitors, the workforce and combinations thereof.

12. The bot of claim 10 where a risk is selected from the group consisting of factor variability risks, element variability risks, base market risk, industry market risk, market volatility, strategic event risks, extreme event risks, event risks, contingent liabilities and combinations thereof.

13. The bot of claim 10 where an external factor is selected from the group consisting of numerical indicators of:

conditions external to the organization, conditions of the organization compared to external expectations of organization condition, organization performance compared to external expectations of organization performance and combinations thereof.

14. The bot of claim 1 where a context can be defined for a subset of the organization using a context frame.

15. The bot of claim 14 where a context frame further comprises a combination of one or more of ingredients and one or more context layers for one or more organization levels.

16. The bot of claim 1 where the method further comprises implementing an organization assignment for a Plurality of contexts in an optimal manner where an optimal manner is a mode that optimizes one or more measure levels for a defined context.

17. The bot of claim 16 where a relative priority assigned to different measures is established by one or more managers.

18. The bot of claim 1 where a measure further comprises any quantitative measure.

19. The bot of claim 1 where an organization has one or more levels and different organization levels can have different measures.

20. The bot of claim 1 that contains an ontology that summarizes an organization context and supports translation with bots programmed using a different ontology or context.

21. A computer readable medium having sequences of instructions stored therein, which when executed cause the processors in a plurality of computers that have been connected via a network to perform a bot development method, comprising:

obtaining one or more measures, a hierarchy and a plurality of data for an organization;

using said measures, hierarchy and at least a portion of the data to define a context for an organization measure performance by organization layer;

identifying one or more assignments that will support the measure performance for said context by organization layer;

programming bots to implement said assignments in an optimal manner for the defined context; and

deploying said bots.

22. The computer readable medium of claim 21 where the method further comprises simulating the performance of said bots under a plurality of scenarios as part of program development.

23. The computer readable medium of claim 21 that supports the development of bots that will complete assignments that support a subset of the organization.

24. The computer readable medium of claim 21 where assignments are selected from the group consisting of action completion, event completion, response to action requests from others, response to events, data collection, data dissemination and combinations thereof.

25. The computer readable medium of claim 21 where an organization further comprises an entity with one or more measures or a combination of entities with one or more measures.

26. The computer readable medium of claim 25 where an entity is selected from the group consisting of individuals, teams, departments, divisions, companies, government agencies, organizations, value chains, multi enterprise organizations and combinations thereof.

27. The computer readable medium of claim 21 where an optimal manner is a mode that optimizes one or more measure levels for a defined context.

28. The computer readable medium of claim 27 where a relative priority assigned to each of one or more measures is established by a manager.

29. The computer readable medium of claim 21 where a measure further comprises any quantitative measure.

30. The computer readable medium of claim 21 where there are one or more short term measures and one or more long term measures.

31. The computer readable medium of claim 21 where a context layer defines a relationship between one more aspects of organization context and one or more ingredients driving organization performance.

32. The computer readable medium of claim 31 where one or more aspects of organization context are selected from the group consisting of physical status, action commitments, tactical status, short term performance, social environment, long term performance and combinations thereof.

33. The computer readable medium of claim 31 where one or more ingredients driving organization performance are selected from the group consisting of one or more elements of performance, one or more resources, one or more risks, one or more external factors and combinations thereof.

34. The computer readable medium of claim 33 where one or more elements of performance are selected from the group consisting of alliances, brands, channels, customers, customer relationships, employees, employee relationships, human capital, intellectual property, investors, investor relationships, knowledge, partners, partner relationships, processes, products, projects suppliers, supplier relationships, support chains, visitors, the workforce and combinations thereof.

35. The computer readable medium of claim 33 where one or more risks are selected from the group consisting of factor variability risks, element variability risks, base market risk, industry market risk, market volatility, strategic event risks, extreme event risks, event risks, contingent liabilities and combinations thereof.

36. A bot programming system, comprising:

networked computers each with a processor having circuitry to execute instructions;

a storage device available to each processor with sequences of instructions stored therein, which when executed cause the processors to;

define a context for an organization measure performance by layer;

identify one or more assignments that will support said organization performance;

program bots to implement said assignments in an optimal manner for the defined organization context.

37. The system of claim 36 where assignments are selected from the group consisting of action completion, event completion, response to action requests from others, response to events, data collection, data dissemination or combinations thereof.