Methods, apparatus and artificial intelligence (AI) editors for implementing an AI behavior are provided herein. In an exemplary method, an AI behavior configuration file can be obtained. The AI behavior configuration file can be configured using at least one preset component, and the AI behavior configuration file matches logic of a preset AI behavior. It can be tested whether a result of running the AI behavior configuration file reaches a preset effect. When the result of running the AI behavior configuration file reaches the preset effect, the preset AI behavior can be implemented according to the AI behavior configuration file.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for implementing an artificial intelligence (AI) behavior, comprising: obtaining an AI behavior configuration file, wherein the AI behavior configuration file is configured using at least one preset component and the AI behavior configuration file matches logic of a preset AI behavior; testing whether a result of running the AI behavior configuration file reaches a preset effect; and when the result of running the AI behavior configuration file reaches the preset effect, implementing the preset AI behavior according to the AI behavior configuration file. 2. The method according to claim 1, wherein before obtaining the AI behavior configuration file, the method further comprises: encapsulating code for implementing specific functions into components for implementing the specific functions; storing, in node configuration, each component of the components for implementing the specific functions and one or more of a type, a function, detailed information, an initialization parameter, and mounting topology, of the each component; and wherein the obtaining of the AI behavior configuration file comprises: calling the at least one preset component from the node configuration to configure the AI behavior configuration file. 3. The method according to claim 2, wherein the obtaining of the AI behavior configuration file comprises: calling the at least one preset component from the node configuration to configure a first AI behavior configuration file; obtaining a second AI behavior configuration file from an AI rule library, wherein the AI rule library has at least one AI behavior configuration file pre-stored therein; and combining the first AI behavior configuration file and the second AI behavior configuration file to obtain the AI behavior configuration file. 4. The method according to claim 2, wherein the obtaining of the AI behavior configuration file comprises: obtaining the AI behavior configuration file from an AI rule library, wherein the AI rule library has at least one AI behavior configuration file pre-stored therein. 5. The method according to claim 2, wherein after calling the at least one preset component from the node configuration to configure the AI behavior configuration file, the method further comprises: storing the obtained AI behavior configuration file in the AI rule library. 6. The method according to claim 1, wherein the testing of whether the result of running the AI behavior configuration file reaches the preset effect comprises: loading application program environment data related to the preset effect; running the AI behavior configuration file by integrating the application program environment data; previewing whether the result of running the AI behavior configuration file is consistent with the preset effect; and when the result of running the AI behavior configuration file is consistent with the preset effect, the result of running the AI behavior configuration file reaches the preset effect. 7. The method according to claim 1, further comprising: after implementing the preset AI behavior according to the AI behavior configuration file, sending the AI behavior configuration file to an AI server for the AI server to update an AI rule library, wherein: the AI rule library stores the AI behavior configuration file; the AI server is mounted with an AI system of at least one application program; the AI system of the at least one application program includes the AI rule library; and the AI rule library stores at least one AI behavior configuration file. 8. An apparatus for implementing an AI behavior, comprising: an obtaining module configured to obtain an AI behavior configuration file, wherein the AI behavior configuration file is configured using at least one preset component and the AI behavior configuration file matches logic of a preset AI behavior; a testing module configured to test whether a result of running the AI behavior configuration file reaches a preset effect; and an implementing module configured to, when the result of running the AI behavior configuration file reaches the preset effect, implement the preset AI behavior according to the AI behavior configuration file. 9. The apparatus according to claim 8, further comprising: an encapsulating module configured to encapsulate code for implementing specific functions into components for implementing the specific functions; and a storing module configured to store, in node configuration, each component of the components for implementing the specific functions and one or more of a type, a function, detailed information, an initialization parameter, and mounting topology, of the each component; and wherein the obtaining module is configured to call the at least one preset component from the node configuration to configure the AI behavior configuration file. 10. The apparatus according to claim 9, wherein the obtaining module is configured to: call the at least one preset component from the node configuration to configure a first AI behavior configuration file; obtain a second AI behavior configuration file from an AI rule library, wherein the AI rule library has at least one AI behavior configuration file pre-stored therein; and combine the first AI behavior configuration file and the second AI behavior configuration file to obtain the AI behavior configuration file. 11. The apparatus according to claim 9, wherein the obtaining module is configured to: obtain the AI behavior configuration file from an AI rule library, wherein the AI rule library has at least one AI behavior configuration file pre-stored therein. 12. The apparatus according to claim 9, wherein the storing module is configured to store the obtained AI behavior configuration file in the AI rule library. 13. The apparatus according to claim 8, wherein the testing module comprises: a loading unit configured to load application program environment data related to the preset effect; a running unit configured to run the AI behavior configuration file by integrating the application pro gram environment data; a previewing unit configured to preview whether the result of running the AI behavior configuration file is consistent with the preset effect; and a determining unit configured to, when the result of running the AI behavior configuration file is consistent with the preset effect, determine that the result of running the AI behavior configuration file reaches the preset effect. 14. The apparatus according to claim 8, further comprising: a sending module configured to send the AI behavior configuration file to an AI server, to cause the AI server to update an AI rule library, wherein: the AI rule library stores the AI behavior configuration file; the AI server is mounted with an AI system of at least one application pro gram; the AI system of the at least one application program includes the AI rule library; and the AI rule library stores at least one AI behavior configuration file. 15. A non-transitory computer-readable medium having computer program for, when being executed by a processor, performing a method for implementing an artificial intelligence (AI) behavior, the method comprising: obtaining an AI behavior configuration file, wherein the AI behavior configuration file is configured using at least one preset component and the AI behavior configuration file matches logic of a preset AI behavior; testing whether a result of running the AI behavior configuration file reaches a preset effect; and when the result of running the AI behavior configuration file reaches the preset effect, implementing the preset AI behavior according to the AI behavior configuration file. 16. The non-transitory computer-readable medium according to claim 15, wherein before obtaining the AI behavior configuration file, the method further comprises: encapsulating code for implementing specific functions into components for implementing the specific functions; storing, in node configuration, each component of the components for implementing the specific functions and one or more of a type, a function, detailed information, an initialization parameter, and mounting topology, of the each component; and wherein the obtaining of the AI behavior configuration file comprises: calling the at least one preset component from the node configuration to configure the AI behavior configuration file. 17. The non-transitory computer-readable medium according to claim 16, wherein the obtaining of the AI behavior configuration file comprises: calling the at least one preset component from the node configuration to configure a first AI behavior configuration file; obtaining a second AI behavior configuration file from an AI rule library, wherein the AI rule library has at least one AI behavior configuration file pre-stored therein; and combining the first AI behavior configuration file and the second AI behavior configuration file to obtain the AI behavior configuration file. 18. The non-transitory computer-readable medium according to claim 16, wherein the obtaining of the AI behavior configuration file comprises: obtaining the AI behavior configuration file from an AI rule library, wherein the AI rule library has at least one AI behavior configuration file pre-stored therein; and storing the obtained AI behavior configuration file in the AI rule library. 19. The non-transitory computer-readable medium according to claim 15, wherein the testing of whether the result of running the AI behavior configuration file reaches the preset effect comprises: loading application program environment data related to the preset effect; running the AI behavior configuration file by integrating the application program environment data; previewing whether the result of running the AI behavior configuration file is consistent with the preset effect; and when the result of running the AI behavior configuration file is consistent with the preset effect, the result of running the AI behavior configuration file reaches the preset effect. 20. The non-transitory computer-readable medium according to claim 15, further comprising: after implementing the preset AI behavior according to the AI behavior configuration file, sending the AI behavior configuration file to an AI server for the AI server to update an AI rule library, wherein: the AI rule library stores the AI behavior configuration file; the AI server is mounted with an AI system of at least one application program; the AI system of the at least one application program includes the AI rule library, and the AI rule library stores at least one AI behavior configuration file.