The present design is directed to a system for dispatching cognitive computing across multiple workers, comprising a supervisory node configured to dispatch work to a plurality of compute servers forming interconnected knowledge nodes and a relevancy engine provided in at least one knowledge node. The relevancy engine comprises a rule package and a series of processors organized in a tree arrangement, the series of processors configured to perform functions according to the rule package.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system for dispatching cognitive computing across multiple workers, comprising: a supervisory node configured to dispatch work to a plurality of compute servers forming interconnected knowledge nodes; and a relevancy engine provided in at least one knowledge node; wherein the relevancy engine comprises a rule package and a series of processors organized in a tree arrangement, the series of processors configured to perform functions according to the rule package. 2. The system of claim 1, wherein a topmost processor in the tree arrangement provides results of analysis using fuzzy logic. 3. The system of claim 1, wherein the rule package organizes a series of rule sets, each rule set corresponding to a different one of the series of processors. 4. The system of claim 1, wherein the supervisory node is configured to categorize and scale performance of multiple disjoint algorithms across a seemingly infinite actor population. 5. The system of claim 1, wherein the supervisory node is configured to normalize data using a common taxonomy. 6. The system of claim 1, wherein the supervisory node is configured to distribute normalized data relatively evenly across the interconnected knowledge nodes. 7. The system of claim 1, wherein the supervisory node is configured to supervise algorithm execution across knowledge nodes. 8. The system of claim 4, wherein the supervisory node is configured to collate and present results of analysis of the seemingly infinite actor population. 9. A system for dispatching cognitive computing across multiple workers, comprising: a plurality of compute servers forming interconnected knowledge nodes; wherein one of the interconnected supervisory nodes comprises a supervisory node configured to dispatch work to at least one knowledge node; wherein one knowledge node comprises a relevancy engine comprising a series of processors organized in a tree arrangement, the series of processors configured to perform functions according to a rule set. 10. The system of claim 9, wherein a topmost processor in the tree arrangement provides results of analysis using fuzzy logic. 11. The system of claim 9, wherein the rule package organizes a series of rule sets, each rule set corresponding to a different one of the series of processors. 12. The system of claim 9, wherein the supervisory node is configured to categorize and scale performance of multiple disjoint algorithms across a seemingly infinite actor population. 13. The system of claim 9, wherein the supervisory node is configured to normalize data using a common taxonomy. 14. The system of claim 9, wherein the supervisory node is configured to distribute normalized data relatively evenly across the interconnected knowledge nodes. 15. The system of claim 9, wherein the supervisory node is configured to supervise algorithm execution across knowledge nodes. 16. The system of claim 13, wherein the supervisory node is configured to collate and present results of analysis of the seemingly infinite actor population. 17. A system for dispatching cognitive computing across multiple workers, comprising: a plurality of compute servers configured to form: a supervisory node configured to dispatch work; and a plurality of interconnected knowledge nodes, with a relevancy engine provided in at least one interconnected knowledge node; wherein the relevancy engine comprises a series of processors organized in a tree arrangement, the series of processors configured to perform functions according to a rule package. 18. The system of claim 17, wherein a topmost processor in the tree arrangement provides results of analysis using fuzzy logic. 19. The system of claim 17, wherein the rule package organizes a series of rule sets, each rule set corresponding to a different one of the series of processors. 20. The system of claim 17, wherein the supervisory node is configured to categorize and scale performance of multiple disjoint algorithms across a seemingly infinite actor population.