Methods and systems are disclosed for obtaining and analyzing information to determine an estimated state of a real world. First information is obtained from a first source of a plurality of sources (e.g., data stores, real-time data streams, or information services), where the first information is potentially indicative of first and second states of the real world. If the first information exceeds a first decision threshold, then the estimated state is the first state, and if the first information exceeds a second decision threshold, then the estimated state is the second state. If the first information does not exceed either of the first and second decision thresholds, then second information is obtained from a second source. Obtaining the second information is based on whether the second source includes information that is relevant to the estimated state and whether the second source includes information that is redundant with the first information.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of obtaining and analyzing information to determine an estimated state of a real world, the method comprising: obtaining, by a processor in communication with a plurality of sources, first information from a first source of the plurality of sources, the first information being potentially indicative of a first state of the real world and a second state of the real world; determining, by the processor, that the estimated state is the first state if the first information exceeds a first decision threshold; determining, by the processor, that the estimated state is the second state if the first information exceeds a second decision threshold; obtaining, by the processor, second information from a second source of the plurality of sources if the first information does not exceed the first decision threshold and does not exceed the second decision threshold, the obtaining of the second information including determining, by the processor, whether the second source includes information that is relevant to the estimated state and determining, by the processor, whether the second source includes information that is redundant with the first information; and determining, by the processor, whether the estimated state is the first state or the second state based on whether the first information and the second information together exceeds the first decision threshold or the second decision threshold. 2. A method as in claim 1 wherein determining whether the second source includes information that is relevant to the estimated state includes determining, by the processor, a divergence between (i) a joint density of the second information and the estimated state and (ii) the product of the densities of the second information and the estimated state, the determined divergence resulting in a relevant score. 3. A method as in claim 2 wherein determining whether the second source includes information that is redundant with first information includes determining a divergence between (i) a joint density of the second information and the first information and (ii) the product of the densities of the second information and the first information, the determined divergence resulting in a redundant score. 4. A method as in claim 3 wherein obtaining information from the second source includes determining, by the processor, whether the second source includes information that is more relevant and less redundant than other sources of the plurality of sources. 5. A method as in claim 4 wherein determining whether the second source includes information that is more relevant and less redundant than other sources includes: for each source, subtracting from the relevant score corresponding to the source, the redundant score corresponding to the source and a cost of obtaining the information from the source, resulting in an overall score for each source; and selecting, by the processor, the second source if the overall score for the second source is greater than each overall score of the other sources of the plurality of sources. 6. A method as in claim 5 wherein determining whether the second source includes information that is more relevant and less redundant than the other sources includes weighting the redundant scores and the costs of obtaining the information. 7. A method as in claim 1 wherein the plurality of sources include any of a data store, a real-time data stream, and a service from which information can be requested. 8. A method as in claim 1 wherein: the real world includes a plurality of ships traveling in a body of water; the estimated state is whether a particular ship of the plurality of ships is a drug smuggler; the first state is that the ship is a drug smuggler; the second state is that the ship is not a drug smuggler; the first information includes information regarding the type of the particular ship; and the second information includes information regarding the route of the particular ship. 9. A system for obtaining and analyzing information to determine an estimated state of a real world, the system comprising: a plurality of sources including any of a data store, a real-time data stream, and a service from which information can be requested, the plurality of sources including (i) a first source including first information potentially indicative of a first state of the real world and a second state of the real world and (ii) a second source including second information potentially indicative of the first state and the second state; an interface in communication with the plurality of sources and configured to obtain information from the plurality of sources; and a processor in communication with the interface and configured to: determine that the estimated state is the first state if the first information exceeds a first decision threshold; determine that the estimated state is the second state if the first information exceeds a second decision threshold; obtain the second information from the second source if the first information does not exceed the first decision threshold and does not exceed the second decision threshold, the processor obtaining the second information by determining whether the second source includes information that is relevant to the estimated state and whether the second source includes information that is redundant with the first information; and determine whether the estimated state is the first state or the second state based on whether the first information and the second information together exceeds the first decision threshold or the second decision threshold. 10. A system as in claim 9 wherein the processor is configured to determine whether the second source includes information that is relevant to the estimated state by determining a divergence between (i) a joint density of the second information and the estimated state and (ii) the product of the densities of the second information and the estimated state, the determined divergence resulting in a relevant score. 11. A system as in claim 10 wherein the processor is configured to determine whether the second source includes information that is redundant with first information by determining a divergence between (i) a joint density of the second information and the first information and (ii) the product of the densities of the second information and the first information, the determined divergence resulting in a redundant score. 12. A system as in claim 11 wherein the processor is configured to obtain information from the second source if the processor determines that the second source includes information that is more relevant and less redundant than other sources of the plurality of sources. 13. A system as in claim 12 wherein the processor is configured to determine whether the second source includes information that is more relevant and less redundant than other sources by: for each source, subtracting from the relevant score corresponding to the source, the redundant score corresponding to the source and a cost of obtaining the information from the source, resulting in an overall score for each source; and selecting the second source if the overall score for the second source is greater than each overall score of the other sources of the plurality of sources. 14. A system as in claim 13 wherein the processor is configured to weight the redundant scores and the costs of obtaining the information. 15. A machine readable storage medium having stored thereon a computer program for obtaining and analyzing information to determine an estimated state of a real world, the computer program comprising a routine of set instructions for causing the machine to: obtain first information from a first source of a plurality of sources in a database, the first information being potentially indicative of a first state of the real world and a second state of the real world; determine that the estimated state is the first state if the first information exceeds a first decision threshold; determine that the estimated state is the second state if the first information exceeds a second decision threshold; obtain second information from a second of the plurality of sources if the first information does not exceed the first decision threshold and does not exceed the second decision threshold, the obtaining of the second information including determining whether the second source includes information that is relevant to the estimated state and determining whether the second source includes information that is redundant with the first information; and determine whether the estimated state is the first state or the second state based on whether the first information and the second information together exceeds the first decision threshold or the second decision threshold. 16. A machine readable storage medium as in claim 15 wherein the instructions cause the machine to determine whether the second source includes information that is relevant to the estimated state by determining a divergence between (i) a joint density of the second information and the estimated state and (ii) the product of the densities of the second information and the estimated state, the determined divergence resulting in a relevant score. 17. A machine readable storage medium as in claim 16 wherein the instructions cause the machine to determine whether the second source includes information that is redundant with first information by determining a divergence between (i) a joint density of the second information and the first information and (ii) the product of the densities of the second information and the first information, the determined divergence resulting in a redundant score. 18. A machine readable storage medium as in claim 17 wherein the instructions cause the machine to obtain information from the second source if the second source includes information that is more relevant and less redundant than other sources of the plurality of sources. 19. A machine readable storage medium as in claim 18 wherein the instructions cause the machine to determine whether the second source includes information that is more relevant and less redundant than other sources by: for each source, subtracting from the relevant score corresponding to the source, the redundant score corresponding to the source and a cost of obtaining the information from the source, resulting in an overall score for each source; and selecting the second source if the overall score for the second source is greater than each overall score of the other sources of the plurality of sources. 20. A machine readable storage medium as in claim 19 wherein the instructions cause the machine to weight the redundant scores and the costs of obtaining the information.