A computer implemented method comprising accessing a decision service, determining a subset of the decision logic, inserting a causal probe into the decision service, receiving a query at the interface of the decision service, executing the decision logic to determine the one or more outputs for the decision service for the received query, and outputting the one or more outputs and the causal history from the decision service for the received query. The causal history can be accessed at a later date and used to generate a causal model that can be used to determine an explanation for the original decision.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method comprising: accessing a decision service, the decision service comprising (a) an interface defining one or more inputs and one or more outputs and (b) decision logic comprising a plurality of statements, each statement defining a cause and one or more effects that follow if the cause is satisfied; determining a subset of the decision logic, the subset comprising only those components of the decision logic required to determine the output for the decision service; inserting a causal probe into the decision service, the causal probe comprising recording logic arranged to record a causal history for a query to the decision service, the causal history limited to the components of the decision logic forming the subset of the decision logic required to determine the output for the decision service; receiving a query at the interface of the decision service, the query defining the one or more inputs for the decision service; executing the decision logic to determine the one or more outputs for the decision service for the received query, the executing including executing the causal probe to determine the causal history for the received query; and outputting the one or more outputs and the causal history from the decision service for the received query. 2. The method according to claim 1, wherein the determining of a subset of the decision logic further comprises: creating a causal model of the decision logic; removing data relationships from the causal model where such data relationships do not affect any output of the decision service; removing conditional relationships from the causal model where such conditional relationships do not affect any output of the decision service; and determining the subset of the decision logic from the reduced causal model. 3. The method according to claim 1, wherein the inserting of a causal probe into the decision service further comprises: annotating those components of the decision logic forming the subset of the decision logic required to determine the output for the decision service with recording logic arranged to generate a causal history when a respective component of the decision logic is executed. 4. The method according to claim 1, further comprising: receiving a request for an explanation for an output from the decision service for the received query; accessing the causal history from the decision service for the received query; creating a decision causal model for the accessed causal history; navigating the decision causal model from the output from the decision service for which an explanation has been requested to the one or more inputs defined in the respective query; and generating an explanation output from the navigation of the decision causal model from the output from the decision service for which an explanation has been requested to the one or more inputs defined in the respective query. 5. The method according to claim 1, wherein the decision logic comprises a plurality of rules, each rule constructed using Boolean logic and operating on one or more variables defined by the inputs of the interface and wherein the determining of a subset of the decision logic, the subset comprising only those components of the decision logic required to determine the output for the decision service comprises removing those rules, rule parts and variables that are not required to determine the output of the decision service. 6. A computer system comprising a processor arranged to: access a decision service, the decision service comprising (a) an interface defining one or more inputs and one or more outputs and (b) decision logic comprising a plurality of statements, each statement defining a cause and one or more effects that follow if the cause is satisfied; determine a subset of the decision logic, the subset comprising only those components of the decision logic required to determine the output for the decision service; insert a causal probe into the decision service, the causal probe comprising recording logic arranged to record a causal history for a query to the decision service, the causal history limited to the components of the decision logic forming the subset of the decision logic required to determine the output for the decision service; receive a query at the interface of the decision service, the query defining the one or more inputs for the decision service; execute the decision logic to determine the one or more outputs for the decision service for the received query, the executing including executing the causal probe to determine the causal history for the received query; and output the one or more outputs and the causal history from the decision service for the received query. 7. The system according to claim 6, wherein the processor is arranged, when determining a subset of the decision logic, the subset comprising only those components of the decision logic required to determine the output for the decision service, to: create a causal model of the decision logic; remove data relationships from the causal model where such data relationships do not affect any output of the decision service; remove conditional relationships from the causal model where such conditional relationships do not affect any output of the decision service; and determine the subset of the decision logic from the reduced causal model. 8. The system according to claim 6, wherein the processor is arranged, when inserting a causal probe into the decision service, to: annotate those components of the decision logic forming the subset of the decision logic required to determine the output for the decision service with recording logic arranged to generate a causal history when a respective component of the decision logic is executed. 9. The system according to claim 6, wherein the processor is further arranged to: receive a request for an explanation for an output from the decision service for the received query; access the causal history from the decision service for the received query; create a decision causal model for the accessed causal history; navigate the decision causal model from the output from the decision service for which an explanation has been requested to the one or more inputs defined in the respective query; and generate an explanation output from the navigation of the decision causal model from the output from the decision service for which an explanation has been requested to the one or more inputs defined in the respective query. 10. The system according to claim 6, wherein the decision logic comprises a plurality of rules, each rule constructed using Boolean logic and operating on one or more variables defined by the inputs of the interface and wherein processor is arranged, when determining a subset of the decision logic, the subset comprising only those components of the decision logic required to determine the output for the decision service, to remove those rules, rule parts and variables that are not required to determine the output of the decision service. 11. A computer program product for controlling a system, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to: access a decision service, the decision service comprising (a) an interface defining one or more inputs and one or more outputs and (b) decision logic comprising a plurality of statements, each statement defining a cause and one or more effects that follow if the cause is satisfied; determine a subset of the decision logic, the subset comprising only those components of the decision logic required to determine the output for the decision service; insert a causal probe into the decision service, the causal probe comprising recording logic arranged to record a causal history for a query to the decision service, the causal history limited to the components of the decision logic forming the subset of the decision logic required to determine the output for the decision service; receive a query at the interface of the decision service, the query defining the one or more inputs for the decision service; execute the decision logic to determine the one or more outputs for the decision service for the received query, the executing including executing the causal probe to determine the causal history for the received query; and output the one or more outputs and the causal history from the decision service for the received query. 12. The computer program product according to claim 11, wherein the instructions for determining a subset of the decision logic comprise instructions for: creating a causal model of the decision logic; removing data relationships from the causal model where such data relationships do not affect any output of the decision service; removing conditional relationships from the causal model where such conditional relationships do not affect any output of the decision service; and determining the subset of the decision logic from the reduced causal model. 13. The computer program product according to claim 11, wherein the instructions for inserting a causal probe into the decision service comprise instructions for annotating those components of the decision logic forming the subset of the decision logic required to determine the output for the decision service with recording logic arranged to generate a causal history when a respective component of the decision logic is executed. 14. The computer program product according to claim 11, further comprising instructions for: receiving a request for an explanation for an output from the decision service for the received query; accessing the causal history from the decision service for the received query; creating a decision causal model for the accessed causal history; navigating the decision causal model from the output from the decision service for which an explanation has been requested to the one or more inputs defined in the respective query; and generating an explanation output from the navigation of the decision causal model from the output from the decision service for which an explanation has been requested to the one or more inputs defined in the respective query. 15. The computer program product according to claim 11, wherein the decision logic comprises a plurality of rules, each rule constructed using Boolean logic and operating on one or more variables defined by the inputs of the interface and wherein the instructions for determining a subset of the decision logic, the subset comprising only those components of the decision logic required to determine the output for the decision service comprise instructions for removing those rules, rule parts and variables that are not required to determine the output of the decision service.