SYSTEM AND METHOD

• US 20100317420A1
• Filed: 07/16/2010
• Published: 12/16/2010
• Est. Priority Date: 02/05/2003
• Status: Active Application

• Current Assignee: Hoffberg Family Trust 2
• Original Assignee: Hoffberg Family Trust 2
• Inventors: Hoffberg, Steven M.
• Application Number:
  US12/837,504
• Publication Number:
  US 20100317420A1
• Time in Patent Office: Days
• US Class Current: 463/1
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G07F 17/32 for games, toys, sports, or amusements
• CPC Class Codes: G07F 17/323 wherein the player is informed, e.g. advertisements, odds, instructions
• CPC Class Codes: G07F 17/3237 about the players, e.g. profiling, responsible gaming, strategy/behavior of players, location of players

Abstract

A system and method providing for communication and reolution of utility functions between participants, wherein the utility function is evaluated based on local information at the recipient to determine a cost value thereof. A user interface having express representation of both information elements, and associated reliability of the information. An automated system for optimally conveying information based on relevance and reliability.

Claims

1. A method of determining a subjective profile of a person, comprising:

presenting a game for play by the person, wherein the payoff of the game is real and beneficial to the person;

sufficiently observing the game play involving the person to comprehend a risk aversion profile of the person;

employing the comprehended risk aversion profile to modify a rationality expectation for the person.

2. The method according to claim 1, wherein the modified rationality expectation is applied to optimize an interaction with the person outside of the game play environment.

3. The method according to claim 1, wherein the risk aversion profile is employed to normalize a system in which rationality is presumed.

4. The method according to claim 1, further comprising normalizing a system to compensate for the risk aversion profile.

5. The method according to claim 1, wherein the game is conducted by an automated processor.

6. The method according to claim 1, wherein the game comprises stakes similar to a non-game situation, and wherein the risk aversion profile derived from play of ther game by the person is employed to modify a rationality expectation for the person in the non-game situation.

7. The method according to claim 1, wherein the risk aversion profile is employed in a user-agent which acts on behalf of the user.

8. The method according to claim 1, wherein the risk aversion profile is employed to subjectivize a presentation of risk data to a user.

9. The method according to claim 1, wherein the risk aversion profile is employed to optimize a presentation of objects associated with different risks to a user.

10. The method according to claim 1, wherein the risk aversion profile is employed to match the person with another person or process, based on a presumed compatibility.

11. A system configured to determine a subjective profile of a person, comprising:

an interactive interface configured for use by a person to play a game, the game comprising a risk and a payoff beneficial to the person;

an automated processor configured to monitor sufficient play of the game to derive a risk aversion profile of the person;

a memory configured to store the risk aversion profile; and

an output port configured to communicate a signal in dependence on the risk aversion profile.

12. The system according to claim 11, wherein the automated processor is further configured to employ the derived risk aversion profile to modify a rationality expectation for the person.

13. The system according to claim 12, wherein the modified rationality expectation is applied with respect to a circumstance outside of the game, to optimize an interaction with the person outside of the game play environment, wherein the game comprises a beneficial payoff to the person.

14. The sytem according to claim 11, wherein the game represents a model of an interaction involving a plurality of people, and wherein the risk aversion profile derived from play of ther game by the person is employed to modify a rationality expectation for the person in the interaction.

15. The system according to claim 11, wherein the automated processor is configured to employ the risk aversion profile to provide a user-agent which acts on behalf of the user.

16. The system according to claim 11, wherein the automated processor is configured to employ the risk aversion profile to optimize a presentation of objects associated with different risks to a user.

17. The system according to claim 11, wherein the automated processor is configured to employ the risk aversion profile to match the person with another person or process, based on a presumed compatibility.

18. A method of generating a user subjective risk aversion profile, comprising:

repeatedly playing a game between an automated processor and the user, the game comprising a range of statistical risks and rewards;

sufficiently observing the game play involving the person to generate a predictive risk aversion profile for the user;

employing the predicted risk aversion profile to normalize an expectation for the person outside of the game.

19. The method according to claim 18, wherein the game is an auction, and wherein an automated processor employs the predicted risk aversion profile to bid in an auction on behalf of the user.

20. The method according to claim 19, wherein the auction comprises a multi-part auction.