Human behavioral modeling and simulation framework

• US 7,844,424 B2
• Filed: 12/18/2007
• Issued: 11/30/2010
• Est. Priority Date: 03/01/2007
• Status: Active Grant

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Comair, Claude
• Primary Examiner(s): PHAN, THAI Q
• Application Number:
  US11/958,752
• Publication Number:
  US 20080294399A1
• Time in Patent Office: 1,078 Days
• Field of Search: 703/2, 703/22, 704/255, 704/257, 707 3- 5, 345/419
• US Class Current: 703/2
• CPC Class Codes: G06N 3/004 Artificial life, i.e. computing arrangements simulating life

Abstract

A computer implemented method, apparatus, and computer usable program code for simulating human behavior. Source code, written in a language for predicting human behavior, is located on a storage system in a network data processing system. An interpreter executing on hardware has a language interpreter and a communications module. The language interpreter executes a simulation with the source code using artificial intelligence to generate a new definition and interpreted source code. A graphical user interface processor receives the interpreted source code from the language interpreter and generates device dependent output. Devices display the device dependent output, receive user input, and send received user input to the graphical user interface processor. The communications module receives the received user input from the graphical user interface processor and the new definition from the language interpreter and modifies the source code to form modified source code that is executed by the language interpreter.

Claims

1. An apparatus for simulating human behavior, the apparatus comprising:

source code located on a storage system in a network data processing system, wherein the source code is written in a language for predicting human behavior;

an interpreter executing on hardware in the network data processing system, the interpreter including a language interpreter and a communications module, wherein the language interpreter executes a simulation with the source code using artificial intelligence to generate a new definition and interpreted source code;

a graphical user interface processor executing on the hardware in the network data processing system, wherein the graphical user interface processor receives the interpreted source code from the language interpreter to form received interpreted source code and generates device dependent output using the received interpreted source code; and

a set of devices in communication with the graphical user interface processor, wherein the set of devices displays the device dependent output, wherein the set of devices receives user input to form received user input and sends the received user input to the graphical user interface processor, and wherein the communications module receives the received user input from the graphical user interface processor and the new definition from the language interpreter, modifies the source code with the received user input and the new definition to form modified source code that is executed by the language interpreter.

2. The apparatus of claim 1, wherein interpreter further includes a first encryption and decryption module and wherein the graphical user interface processor further includes a second encryption and decryption module, wherein the first encryption module encrypts the device dependent output to form encrypted output and sends the encrypted output to the second encryption and decryption module, wherein the second encryption and decryption module decrypts to encrypted output to form the received interpreted source code.

3. The apparatus of claim 1, wherein the language interpreter comprises:

a language analyzer, wherein the language analyzer identifies tokens in the source code to form identified tokens;

a grammar parser, wherein grammar parser creates sentences using the identified tokens; and

an execution module, wherein the execution module executes the sentences created by the grammar parser using the artificial intelligence.

4. The apparatus of claim 3, wherein the communications module comprises:

a registration module;

an input module; and

a dispatcher module.

5. The apparatus of claim 1, wherein the storage system is a plurality of storage devices.

6. The apparatus of claim 5, wherein the plurality of storage devices are in different locations in the network data processing system.

7. The apparatus of claim 1, wherein the graphical user interface processor executes on a first portion of the hardware and wherein the interpreter executes on a second portion of the hardware.

8. The apparatus of claim 1, wherein the language interpreter identifies tokens in the language in the source code, creates sentences for the language, and executes actions from sentences.

9. The apparatus of claim 1, wherein the language interpreter generates device dependent output in a form of a set of device dependent output streams.

10. An apparatus comprising:

source code located on a storage system in a network data processing system;

an interpreter executing in the network data processing system, wherein the interpreter executes a simulation with the source code generating interpreted source code, wherein interpreter modifies the source code using the interpreted source code to form a feedback loop that results in modified source code that is executed by the interpreter;

a graphical user interface processor executing in the network data processing system, wherein the graphical user interface processor receives the interpreted source code from the language interpreter and generates device dependent output; and

a set of devices in communication with the graphical user interface processor, wherein the set of devices displays the device dependent output generated by the graphical user interface processor, wherein the set of devices receives user input to form received user input and sends the received user input to the graphical user interface processor and wherein the interpreter processes the received user input from the graphical user interface processor to modify the source code to form the modified source code that is executed by the interpreter.

11. The apparatus of claim 10, wherein the interpreter executes the simulation using artificial intelligence.

12. The apparatus of claim 10, wherein the storage system on which the source code is located comprises a plurality of storage devices located in different portions of the network data processing system.

13. A computer implemented method for simulating human behavior, the computer implemented method comprising:

retrieving data from source code stored in a storage system in a network data processing system to from retrieved data;

interpreting the retrieved data to perform a simulation of the human behavior using an interpreter executing on the network data processing system to generate results;

generating device dependent data from the results using a graphical user interface processor executing on the network data processing system, wherein the device dependent data may be used to present the results;

modifying the source code using the results to form modified source code, wherein the modified source code provides new data utilized in subsequent interpretations to predict the human behavior;

presenting the device dependent data on a set of devices in communication with the graphical user interface processor, and wherein the set of devices displays the device dependent data generated by the graphical user interface processor;

receiving user input from the set of devices at the interpreter to form received user input;

modifying the source code, by the interpreter, using the received user input to form the modified source code; and

continuing to perform the simulation of the human behavior at the interpreter using the modified source code.

14. The computer implemented method of claim 13 further comprising:

sending the results from the interpreter to the graphical user interface in an encrypted format.

15. The computer implemented method of claim 13, wherein the graphical user interface processor is located on a plurality of different data processing systems.

16. A computer implemented method for predicting human behavior, the computer implemented method comprising:

retrieving a source code from a storage system by an interpreter to form retrieved source code;

executing actions using the retrieved source code at the interpreter, wherein a definition modification occurs in response to executing the initial actions;

modifying the source code in the storage system using the definition modification to form current source code;

executing subsequent actions at the interpreter using the current source code to generate results, wherein a continual feedback of new definition modifications are generated to continually modify the current source code being executed by the interpreter occurs;

presenting the results on a set of devices in communication with a graphical user interface processor; and

responsive to receiving a user input at the set of devices, modifying definitions in the current source code utilizing the user input, wherein the current source code is modified by both the user input and the continual feedback of new definition modifications to form modified source code that is executed by the interpreter.

17. The computer implemented method of claim 16, wherein the presenting step comprises:

generating device data; and

sending the device data to a set of devices for presentation.

18. A computer program product comprising:

a computer usable medium having computer usable program code for simulating human behavior, the computer program medium comprising;

computer usable program code for retrieving data from source code stored in a storage system in a network data processing system to from retrieved data;

computer usable program code for interpreting the retrieved data to perform a simulation of the human behavior using an interpreter executing on the network data processing system to generate results;

computer usable program code for generating device dependent data from the results using a graphical user interface processor executing on the network data processing system, wherein the device dependent data may be used to present the results;

computer usable program code for modifying the source code using the results to form modified source code, wherein the modified source code provides new data utilized in subsequent interpretations to predict the human behavior;

computer usable program code for displaying the device dependent data generated by the graphical user interface processor using a set of devices;

computer usable program code for receiving user input from the set of devices at the interpreter to form received user input;

computer usable program code for modifying the source code, by the interpreter, using the received user input to form the modified source code; and

computer usable program code for continuing to perform the simulation of the human behavior at the interpreter using the modified source code.