Management training simulation method and system

• US 20020194056A1
• Filed: 05/08/2002
• Published: 12/19/2002
• Est. Priority Date: 07/31/1998
• Status: Abandoned Application

• Current Assignee: Hanger Solutions, LLC (IP Investments Group LLC)
• Original Assignee: Hanger Solutions, LLC (IP Investments Group LLC)
• Inventors: Summers, Gary J.
• Application Number:
  US10/141,997
• Publication Number:
  US 20020194056A1
• Time in Patent Office: Days
• US Class Current: 703/10
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G09B 19/18 Book-keeping or economics
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F

Abstract

Systems and methods for simulating real-world scenarios are disclosed in which value functions having multiple optima process objects submitted by a user. The methods and system, among other things, can develop decision-making skills of the user and can assist in diagnosing the cognitive approach of a student. A method in accordance with one aspect of the invention is implemented on a computer and represents changes in design opportunities for objects in a simulated environment. The design opportunities can represent, for example, new or changed features in a product made by a particular firm. The objects are defined through an attribute-characteristic representation. Participants in the simulation acquire limited information to guide their going-forward decisions, preferably at a cost. A network preferably interconnects plural simulation participants to a central computer that runs the simulation.

Claims

1. In a computer implemented simulation, a method for developing the decision-making skills of a user, comprising the steps of:

a) defining a simulated situation including a marketplace, a firm under the control of a particular user, and a set of products which are represented by an attribute-characteristic representation;

b) obtaining one or more product designs from the user;

c) processing said product designs with a value function having multiple optima;

d) selectively providing the user with information concerning at least a subset of the processed product designs; and

e) repeating steps b) through d), whereby the user iteratively obtains results of sending product designs to the simulated situation.

2. The method as in claim 1, including the additional step of providing the user with information concerning a current state of the firm under that user'"'"'s control.

3. The method as in claim 2, wherein steps b) through d) are repeated:

(a) for a predetermined number of rounds;

or

(b) until preselected criteria are satisfied.

4. The method as in claim 1, wherein the step of selectively providing the user with information includes charging the user for accessing the information.

5. The method as in claim 1, wherein the user is selectively provided with information in response to inputting product characteristics and obtains at least one marketplace performance data in response thereto.

6. The method as in claim 5, wherein the input product characteristics include the characteristics for at least one particular product design.

7. The method as in claim 4, wherein the user is selectively provided with information in response to inputting a marketplace performance data and obtains product characteristics in response thereto.

8. The method as in claim 7, wherein the product characteristics include the characteristics for at least one particular product design.

9. The method as in claim 1, wherein the marketplace performance data of at least one subset includes at least one of the following:

the number of units that were sold in the marketplace, the market share, the market ranking, and price information.

10. The method as in claim 1, wherein the step of selectively providing the user with information includes providing information that satisfies a search query entered by the user.

11. The method as in claim 1, the interaction between the at least two attributes comprises strong frustration between the at least two attributes.

12. The method as in claim 1, wherein the value function is one of an IAVF and an IVF.

13. The method as in claim 1, including the additional step of changing a first set of valid product designs that can be obtained from the user to a second set of valid product designs.

14. The method as in claim 13, wherein the changing step occurs after steps b) through d) have been repeated:

a) a predetermined number of times;

or

b) until preselected criteria are satisfied.

15. The method as in claim 13, wherein the changing step includes the step of expanding the domain of one or more attributes in the attribute-characteristic representation that the user can vary in order to simulate a technological advance.

16. The method as in claim 13, wherein the changing step includes the step of expanding the number of attributes in the attribute-characteristic representation that the user can vary in order to simulate a technological advance.

17. The method as in claim 13, wherein the changing step includes the step of constraining the domain of one or more attributes in the attribute-characteristic representation that the user can vary in order to simulate government regulation or a shortage of raw materials.

18. The method as in claim 13, wherein the changing step includes the step of constraining the number of attributes in the attribute-characteristic representation that the user can vary in order to simulate government regulation or a shortage of raw materials.

19. The method as in claim 13, wherein the changing step is automatically initiated in response to a determination of the amount of innovation in the processed revised product designs.

20. The method as in claim 13, wherein each product design in first set of valid product designs has the same value in the second set of valid product designs.

21. The method as in claim 1, including the additional step of changing the value function having multiple optima in response to a predetermined condition to simulate an exogeneous change in product valuation.

22. The method as in claim 1, including the additional step of changing a product design characteristic which is changeable only by the system in response to predetermined criteria thereby effecting a change in product valuation.

24. The method as in claim 23, including the additional step of providing the user with information concerning a current state of the firm under that user'"'"'s control.

25. The method as in claim 23, wherein the value function is one of an IAVF and an IVF.

27. The method as in claim 26, wherein only the domain of one or more of the attributes is changed.

28. The method as in claim 27, wherein the changing step includes the step of expanding the domain of one or more attributes in the attribute-characteristic representation that the user can vary in order to simulate a technological advance.

29. The method as in claim 26, wherein the value function is one of an IAVF and an IVF.

23. In a computer implemented simulation, a method for developing the decision-making skills of a user, comprising the steps of:

a) defining a simulated situation including at least one firm and a set of objects which are represented by an attribute-characteristic representation, each firm being under the control of a particular user;

b) obtaining one or more object designs from one or more users to send to the simulation;

c) processing said object designs with a value function having multiple optima;

d) selectively providing the one or more users with simulation information concerning at least a subset of the processed object designs; and

e) repeating steps b) through d) whereby the user iteratively obtains results of sending revised object designs to the system.

26. A method implemented on a computer for representing changes in design opportunities in a management training simulation, comprising the steps of:

a) providing an attribute-characteristic representation of one or more objects;

b) processing said objects with a value function having multiple optima; and

c) changing at least one of a domain of one or more attributes and the number of attributes of the attribute-characteristic representation by removing restrictions on the valid object designs in the attribute-characteristic representation during the course of the management training simulation, whereby a set of valid designs for said objects in the management training simulation is altered.

30. A method implemented on a computer for representing changes in design opportunities in a management training simulation, comprising the steps of:

a) providing an attribute-characteristic representation of one or more objects;

b) processing said objects with a value function having multiple optima; and

c) changing a domain of one or more attributes of the attribute-characteristic representation, whereby a set of valid designs for said objects in the management training simulation is altered,

wherein the changing step includes the step of constraining the domain of one or more attributes in the attribute-characteristic representation that the user can vary in order to simulate government regulation or a shortage of raw materials.

31. The method as in claim 30, wherein only the number of attributes is changed.

32. The method as in claim 31, wherein the changing step includes the step of expanding the number of attributes in the attribute-characteristic representation that the user can vary in order to simulate a technological advance.

33. The method as in claim 30, wherein the value function is one of an IAVF and an IVF.

35. The method as in claim 34, wherein the changing step is automatically initiated in response to a determination of the amount of innovation in the processed object designs.

36. The method as in claim 34, wherein a value of each valid design of said objects remain unchanged after the changing step.

37. The method as in claim 34, including the additional step of obtaining object designs for said objects from a user prior to the processing step.

38. The method as in claim 37, including the additional step of selectively providing the user with information concerning at least a subset of said objects.

39. The method as in claim 38, including the additional step of charging the user for the provided information.

40. The method as in claim 38, wherein the step of selectively providing the user with information includes providing marketplace information that satisfies a search query entered by the user.

41. The method as in claim 34, wherein the interaction between the at least two attributes comprises strong frustration between the at least two attributes.

42. The method as in claim 34, wherein the value function is one of an IAVF and an IVF.

34. A method implemented on a computer for representing changes in design opportunities in a management training simulation, comprising the steps of:

a) providing an attribute-characteristic representation of one or more objects;

b) processing said objects with a value function having multiple optima; and

c) changing the number of attributes of the attribute-characteristic representation, whereby a set of valid designs for said objects in the management training simulation is altered,

wherein the changing step includes the step of constraining the number of attributes in the attribute-characteristic representation that the user can vary in order to simulate government regulation or a shortage of raw materials.

43. A method implemented on a computer for effecting changes in object design values in a simulation, comprising the steps of:

a) providing an attribute-characteristic representation having attributes that are representative of one or more objects and at least one disturbance-attribute that is representative of a factor that influences the simulation;

b) processing said objects with a value function having multiple optima; and

c) the computer automatically changing a system-set characteristic of the disturbance-attribute in the attribute-characteristic representation of the set of valid object designs, whereby one or more values of said set of valid object designs in the simulation is altered.

44. The method as in claim 43, wherein the value function is one of an IAVF and an IVF.

46. The method as in claim 45, wherein the repeating step further includes recording the value for each of the designs and associating the value and the design in a memory of the computer.

47. The method as in claim 45, wherein the value function is one of an IAVF and an IVF.

49. The system as in claim 48, wherein each station is identifiable by the first computer and wherein the first computer is configured to transmit to each particular station information concerning a current state of the of that user'"'"'s object designs.

50. The method as in claim 48, wherein the value function is one of an IAVF and an IVF.

45. A method for diagnosing the cognitive approach of a student in responding to a design evaluation presented on a computer, comprising the steps of:

a) commencing a first round by obtaining from the student at least one of an object design and an object category that includes one or more object designs, each object design that is obtained from the student being represented by an attribute-characteristic representation;

b) evaluating one or more of the designs in the computer using a value function having multiple optima;

c) outputting a value concerning the designs obtained from the student;

d) repeating steps b) and c) a number of additional rounds while recording information associated with one or more of the rounds; and

e) comparing the value of the designs of the student to other data to gauge the students cognitive approach, in each round, in revising the design.

48. A management training system, comprising:

a) a first computer including a processor and memory and a network connection to a plurality of stations, the first computer being configurable to define a simulated business situation and to process inputs from users using a value function having multiple optima;

b) a plurality of stations connected to the first computer and executing an application software program which permits a user at each station to design one or more objects thereat, each object having a valid object design defined using an attribute-characteristic representation; and

c) a connection between the plurality of stations and the first computer which permits object designs input at the plural stations to be forwarded to the first computer and permits data concerning the object designs that have been processed using the value function to be transmitted from the first computer to the plural stations,

d) wherein the application software program is changeable by removing restrictions on the valid object designs in the attribute-characteristic representation during the course of the simulated business situation to increase the number or domain of the valid object designs defined by the attribute-characteristic representation.