Object Oriented System and Method of Graphically Displaying and Analyzing Complex Systems

• US 20080033897A1
• Filed: 08/02/2007
• Published: 02/07/2008
• Est. Priority Date: 08/02/2006
• Status: Abandoned Application

• Current Assignee: Kenneth Lloyd
• Original Assignee: Kenneth Lloyd
• Inventors: Lloyd, Kenneth
• Application Number:
  US11/833,092
• Publication Number:
  US 20080033897A1
• Time in Patent Office: Days
• US Class Current: 706/19
• CPC Class Codes: G06F 8/34 Graphical or visual programming
• CPC Class Codes: G06F 9/4488 Object-oriented

Abstract

The present invention involves with a system and method which assists a user in solving a complex problem, or determining the nature of a problem when it cannot be resolved. The computer has a processor and memory for storing instructions. The hybrid network software module in the memory enables a multi-dimensional mathematical model of a real world situation based on relevant parameters. The context software module in the memory provides the parameters to the hybrid network software and defines relationships within the hybrid network software. The context software module further has an interface for allowing the user to change the parameters and the relationships. The manipulation software module in the memory is adapted to change at least one of the hybrid network software module and the context software module based on one of changes to the internal definition of the mathematical model and changes in values external to the mathematical model.

Claims

1. A computer for assisting a user in solving a complex problem, said computer comprising:

a processor and memory for storing instructions;

a hybrid network software module in said memory, said hybrid network software module enabling a multi-dimensional mathematical model of a real world situation based on relevant parameters;

a context software module in said memory, said context software module providing the parameters to said hybrid network software and defining relationships with said hybrid network software module, said context software module further including an interface for allowing the user to change the parameters and the relationships; and

a manipulation software module in said memory, said manipulation software module adapted to change at least one of said hybrid network software module and said context software module based on one of changes to the internal definition of the mathematical model and changes in values external to the mathematical model.

2. The computer system of claim 1 further comprising a flow module adapted to calculate flow patterns within said hybrid network.

16. The computer system of claim 2 wherein said flow module includes an energy minimization calculation module.

17. The computer system of claim 16 wherein said energy minimization calculation module includes at least one of a forward analysis and a reverse analysis.

18. The computer system of claim 17 wherein said energy minimization calculation module includes a Monte Carlo simulation module.

19. The computer system of claim 1 wherein said manipulation software module includes graphical display software.

20. The computer system of claim 1 wherein said hybrid network module includes vertex identification software.

21. The computer system of claim 1 wherein said hybrid network module includes edge identification software.

22. The computer system of claim 1 further comprising a node organization module for defining a plurality of nodes, and associating vertices of said hybrid network module with parameters of said context software module by said nodes.

23. The computer system of claim 22 wherein said manipulation software module has software adapted to modify a first one of said plurality of nodes based on a change in a second one of said plurality of nodes.

3-15. -15. (canceled)

24. In computer, a method of assisting a user in solving a complex problem, said method comprising the steps of:

creating a multi-dimensional mathematical model of a real world situation based on relevant parameters using a hybrid network and a context module;

providing the parameters to the context module and defining relationships within the hybrid network software; and

manipulating of at least one of the hybrid network and the context module based on one of changes to the internal definition of the mathematical model and changes in values external to the mathematical model.

25. The method of claim 24 further comprising the step of calculating flow patterns within the hybrid network.

26. The method of claim 25 wherein said step of calculating flow patterns includes calculating energy minimization.

27. The method of claim 26 wherein said step of calculating energy minimization includes at least one of a forward analysis calculation and a reverse analysis calculation.

28. The method of claim 27 wherein said step of calculating energy minimization calculation module includes performing a Monte Carlo simulation.

29. The method of claim 24 wherein the step of manipulating includes providing a graphical display of the hybrid network.

30. The method of claim 24 further comprising the step of identifying a vertex in the hybrid network module.

31. The method of claim 24 further comprising the step of identifying an edge in the hybrid network module.

32. The method of claim 24 further comprising the steps of defining a plurality of nodes, and associating vertices of said hybrid network with parameters of said context software module by the nodes.

33. The method of claim 32 wherein said manipulating step includes modifying a first one of the nodes based on a change in a second one of the nodes.

34. A machine-readable program storage device for storing encoded instructions for a method of assisting a user in solving a complex problem, said method comprising the steps of:

creating a multi-dimensional mathematical model of a real world situation based on relevant parameters using a hybrid network and a context module;

providing the parameters to the context module and defining relationships within the hybrid network software; and

manipulating of at least one of the hybrid network and the context module based on one of changes to the internal definition of the mathematical model and changes in values external to the mathematical model.

35. The machine readable program storage device of claim 34 wherein said method further comprises the step of calculating flow patterns within the hybrid network.

36. The machine readable program storage device of claim 35 wherein said method has the step of calculating flow patterns including calculating energy minimization.

37. The machine readable program storage device of claim 36 wherein said method has the step of calculating energy minimization including at least one of a forward analysis calculation and a reverse analysis calculation.

38. The machine readable program storage device of claim 37 wherein said step of calculating energy minimization calculation module includes performing a Monte Carlo simulation.

39. The machine readable program storage device of claim 34 wherein said method has the step of manipulating including providing a graphical display of the hybrid network.

40. The machine readable program storage device of claim 34 wherein said method further comprises the step of identifying a vertex in the hybrid network module.

41. The machine readable program storage device of claim 34 wherein said method further comprises the step of identifying an edge in the hybrid network module.

42. The machine readable program storage device of claim 34 wherein said method further comprises the steps of defining a plurality of nodes, and associating vertices of said hybrid network with parameters of said context software module by the nodes.

43. The machine readable program storage device of claim 42 wherein said method has the manipulating step including modifying a first one of the nodes based on a change in a second one of the nodes.