METHOD AND SYSTEM FOR ROBUST SOCIAL CHOICES AND VOTE ELICITATION

• US 20140081717A1
• Filed: 03/05/2012
• Published: 03/20/2014
• Est. Priority Date: 03/04/2011
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Lu, Tian, Boutilier, Craig Edgar
• Application Number:
  US14/001,991
• Publication Number:
  US 20140081717A1
• Time in Patent Office: Days
• US Class Current: 705/12
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G07C 13/00 Voting apparatus

Abstract

The present invention is a system, method and computer program for generating an optimal decision based on general, incomplete decision-making input, such as incomplete preferences. Input may be provided from a variety of entities (including human and computer entities). The present invention may be operable to utilize such input to make a set of decisions and an optimal decision may be efficiently generated, even if the input represents incomplete voter preferences. The present invention may also undertake a decision-making process that involves a facility to compute minimax regret and to elicit preferences from a voter. Preferences may be elicited by one or more queries posed to a voter about their pairwise preferences in such a way so as to maximally reduce minimax regret. The type of queries and order of queries posed may be determined in accordance with the most efficient decision-making process to arrive efficiently at the optimal decision. In this manner the present invention may guide the decision-making process to support and elicit efficient decision-making.

Claims

1. A computer network implemented system for suggesting a group decision, the system, characterized in that the system comprises:

(a) one or more server computers, connected to an interconnected network of computers, and linked to a server application;

(b) the server application includes or is linked to an intelligent voting manager that;

(i) receives as input a plurality of options over which a group of voters have certain preferences (“

voter preferences”

), and from which one or more options must be selected by the group of voters to establish the group decision;

(ii) receives as input information about the voting preferences of one or more voters for one or more of the plurality of options, wherein the voting preferences may relate to (A) all of the possible voting preferences given the plurality of options (“

complete preference information”

) or (B) a subset of the possible voting preferences given the plurality of options (“

partial preference information”

, complete preference information or partial preference information being “

preference information”

), wherein the voter preferences are expressible as pairwise preferences;

(iii) is configured to generate one or more suggested group decisions, whether the intelligent voting manager receives complete preference information or partial preference information, the suggested group decisions being generated based on the highest guaranteed level of group decision satisfaction relative to the received complete preference information or partial preference information, using the pairwise preferences; and

(iv) initiates the presentation of one or more suggested group decisions as output to the one or more voters.

2. The system of claim 1 wherein the system is operable to, including through one or more computers systems linked directly or indirectly to the system, (A) generate one or more queries for presentation to the one or more voters, wherein the queries are constructed to elicit preference information, and (B) receive one or more responses to the queries from the one or more voters that include complete preference information or partial preference information.

3. The system of claim 2, wherein the intelligent voting manager is operable to generate one or more quality or group satisfaction guarantees for the one or more suggested group decisions, and initiate the communication of the one or more quality or group satisfaction guarantees to the one or more voters.

4. The system of claim 3, wherein the system is operable to receive further preference information from one or more of the voters based on the communication of the one or more quality or group satisfaction guarantees.

5. The system of claim 4, wherein the intelligent voting manager is operable to generate further one or more quality or group satisfaction guarantees based on the preference information including the further preference information, and initiate the communication of the further one or more quality or group satisfaction guarantees to the one or more voters.

6. The system of claim 1, wherein the intelligent voting manager is configured to implement an incremental process wherein the one or more voters iteratively provide further preference information, and receive further quality or group satisfaction guarantees with improved levels as compared to levels associated with quality or group satisfaction guarantees for previously provided preference information, thereby incrementally improving quality or group satisfaction levels with the one or more suggested group decisions.

7. The system of claim 6, wherein the system is operable to receive a communication indicating that the one or more voters has accepted one or more suggested group decisions, and upon receipt of the communication the incremental process is concluded and the system is operable to log, or communicate to one or more computer systems linked to the system, the accepted decision.

8. The system of claim 1, wherein preference information, or a subset of preference information, is collected from one or more data sources linked to the system.

9. The system of claim 8, wherein the preference information includes preference information both input by the one or more voters and collected from one or more data sources.

10. The system of claim 8, wherein the preference information may include preference information extrapolated from one or more of online databases, product review websites, social networking websites, or “

check-in”

information from one or more location-aware applications or services.

11. The system of claim 6, wherein the incremental process further includes generating queries for one or more data sources linked to the system, and the system is adapted to generate the one or more suggested group decisions including based on the information provided by the one or more data sources in response to the queries.

12. The system of claim 1 wherein the one or more suggested group decisions are generated incrementally, the system generating one or more initial suggested group decisions and associated one or more quality or group satisfaction guarantees therewith, and then the system receiving further preference information and based on this further preference information the system generates further suggested group decisions and associated one or more quality or group satisfaction guarantees, where quality or group satisfaction levels of any further suggested group decisions are higher than the quality or group satisfaction levels of preceding suggested group decisions.

13. The system of claim 3 wherein the one or more quality or group satisfaction guarantees are expressed as one or more group satisfaction scores.

14. The system of claim 13, wherein the system is operable to generate a plurality of suggested group decisions and the associated group satisfaction score, and initiate the communication of such suggested group decisions and group satisfaction scores to the one or more voters.

15. The system of claim 3, wherein the one or more quality or group satisfaction guarantees are calculated by:

(a) measuring group satisfaction for the options using a voting rule that determines a group satisfaction score for each option, based on a ranking of all options by each voter; and

(b) determining a guaranteed level of group satisfaction for an option using maximum regret of that option relative to the group satisfaction measurement under (a) above.

16. The system of claim 15, wherein the one or more suggested group decisions are selected from possible group decisions based on the options that either (A) have minimal maximum regret, or (B) have maximum regret that it is within a predetermined factor of the plurality of options having minimal maximum regret.

17. The system of claim 13, wherein the intelligent workflow manager is operable to select particular one or more voters for whom if further preference information is obtained the group satisfaction scores can be improved.

18. The system of claim 1, wherein the intelligent workflow manager is further operable to determine particular preference information, which if obtained for one or more voters permits improvement of the group satisfaction scores.

19. A computer implemented method for generating one or more suggested group decisions, characterized in that the method comprises:

(a) receiving as input a plurality of options over which a group of voters have certain preferences (“

voter preferences”

), and from which one or more options must be selected by the group of voters to establish the group decision;

(b) receiving input information about the voting preferences of one or more voters for one or more of the plurality of options, wherein the voting preferences may relate to (A) all of the possible voting preferences given the plurality of options (“

complete preference information”

) or (B) a subset of the possible voting preferences given the plurality of options (“

partial preference information”

, complete preference information or partial preference information being “

preference information”

);

(c) logging the preference information as a set of pairwise preferences;

(d) generating one or more suggested group decisions using the pairwise preferences, whether the intelligent voting manager receives complete preference information or partial preference information, the suggested group decisions being generated based on the highest guaranteed level of group decision satisfaction relative to the received complete preference information or partial preference information; and

(e) initiating the presentation of one or more suggested group decisions as output to the one or more voters.

20. The method of claim 19, comprising the further step of generating one or more quality or group satisfaction guarantees and initiating the communication of these guarantees to the one or more voters.

21. The method of claim 20, wherein the receiving of input information about the voting preferences, and generation of one or more suggested group decisions and related quality or group satisfaction guarantees is an incremental process wherein the quality or group satisfaction guarantees for any subsequent suggested group decisions are improved over quality or group satisfaction guarantees for any previous suggested group decisions.