Method and system for stake-based event management with ledgers

Abstract

A trust-less system for sharing event information among autonomous nodes may include: a plurality of autonomous nodes, each of which creates an event related to a condition, a first ledger configured to collect and store a record of each event; a second ledger configured to store reputation information for the plurality of autonomous nodes; and a bookmaker module operable to determine a reward and a penalty for each event. The bookmaker module may be operable to modify the reputation information based on a status of the condition determined by subsequent events created by autonomous nodes where the subsequent events either validate or invalidate the condition.

What is claimed is: 
     
         1 . A method, comprising:
 analyzing, by a system comprising a processor, events generated by autonomous nodes, wherein the events are related to conditions determined by the autonomous nodes; and   adjusting, by the system, respective reputation levels of the autonomous nodes based upon the analysis of the events, wherein the adjusting comprises:
 determining a reward value and a penalty value for an event of the events, 
 in response to a subsequent event of the events being determined to validate a condition related to the event, adjusting a reputation level, of the respective reputation levels, of an autonomous node, of the autonomous nodes, that generated the event by the reward value, wherein the subsequent event occurred after the event, and 
 in response to the subsequent event being determined to invalidate the condition related to the event, adjusting the reputation level of the autonomous node by the penalty value. 
   
     
     
         2 . The method of  claim 1 , wherein the subsequent event is a first subsequent event, and the adjusting further comprises:
 in response to a second subsequent event of the events being determined to validate the condition related to the event, adjusting the reputation level by the reward value, wherein the second subsequent event occurred after the first subsequent event, and   in response to the second subsequent event being determined to invalidate the condition related to the event, adjusting the reputation level by the penalty value.   
     
     
         3 . The method of  claim 1 , wherein the reward value and the penalty value are determined based on a novelty of the event according to a novelty criterion. 
     
     
         4 . The method of  claim 1 , wherein the reward value and the penalty value are determined based on the reputation level of the autonomous node. 
     
     
         5 . The method of  claim 1 , wherein the reward value and the penalty value are determined based on a time to live for the event. 
     
     
         6 . The method of  claim 1 , wherein the reward value and the penalty value are determined based on a type of the autonomous node. 
     
     
         7 . The method of  claim 1 , wherein the reward value and the penalty value are determined based on a geographic area in which the event occurred. 
     
     
         8 . A system, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 analyzing events generated by autonomous vehicles, wherein the events are related to conditions determined by the autonomous vehicles; and 
 modifying respective reputation levels of the autonomous vehicles based upon the examination of the events, wherein the modifying comprises:
 determining a reputation level change amount for an event of the events, 
 in response to a subsequent event of the events validating a condition related to the event, increasing a reputation level of an autonomous vehicle, of the respective reputation levels of the autonomous vehicles, that generated the event by the reputation level change amount, wherein the subsequent event occurred after the event, and 
 in response to the subsequent event invalidating the condition related to the event, decreasing the reputation level of the autonomous vehicle by the reputation level change amount. 
 
   
     
     
         9 . The system of  claim 8 , wherein the subsequent event is a first subsequent event, and the modifying further comprises:
 in response to a second subsequent event of the events validating the condition related to the event, increasing the reputation level by the reputation level change amount, wherein the second subsequent event occurred after the first subsequent event, and   in response to the second subsequent event invalidating the condition related to the event, decreasing the reputation level by the reputation level change amount.   
     
     
         10 . The system of  claim 8 , wherein the reputation level change amount is a function of a novelty of the event. 
     
     
         11 . The system of  claim 8 , wherein the reputation level change amount is a function of the reputation level of the autonomous vehicle. 
     
     
         12 . The system of  claim 8 , wherein the reputation level change amount is a function of a time to live for the event. 
     
     
         13 . The system of  claim 8 , wherein the reputation level change amount is a function of a type of the autonomous vehicle. 
     
     
         14 . The system of  claim 8 , wherein the operations further comprise:
 applying machine learning to determine information relating to a characteristic of the autonomous vehicle, and   determining the reputation level change amount based on the information.   
     
     
         15 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
 analyzing events generated by autonomous sensors, wherein the events are related to conditions determined by the autonomous sensors; and   altering reputation levels of the autonomous sensors based on the analysis of the events, wherein the altering comprises:
 determining a change value for an event of the events, 
 in response to a subsequent event of the events being determined to validate a condition related to the event, increasing a reputation level of an autonomous sensor that generated the event by the change value, wherein the subsequent event occurred after the event, and 
 in response to the subsequent event being determined to invalidate the condition related to the event, decreasing the reputation level of the autonomous sensor by the change value. 
   
     
     
         16 . The non-transitory machine-readable medium of  claim 15 , wherein the subsequent event is a first subsequent event, and the altering further comprises:
 in response to a second subsequent event of the events being determined to validate the condition related to the event, increasing the reputation level by the change value, wherein the second subsequent event occurred after the first subsequent event, and   in response to the second subsequent event being determined to invalidate the condition related to the event, decreasing the reputation level by the change value.   
     
     
         17 . The non-transitory machine-readable medium of  claim 15 , wherein the operations further comprise, in response to the reputation level of the autonomous sensor being determined to be below a threshold level, ignoring additional events generated by the autonomous sensor subsequent to the second subsequent event. 
     
     
         18 . The non-transitory machine-readable medium of  claim 15 , wherein the change value is based on a novelty determined for the event. 
     
     
         19 . The non-transitory machine-readable medium of  claim 15 , wherein the change value is based on a time to live determined for the event. 
     
     
         20 . The non-transitory machine-readable medium of  claim 15 , wherein the change value is determined using a result of machine learning based on a characteristic of the autonomous sensor.