Abstract: The present disclosure relates to a game interactive control method and apparatus, a storage medium and an electronic device, and relates to the technical field of computers. According to the method, by determining the game intention of the agent according to the game state information, and inputting the game state information, the game communication information and the game intention into the communication prediction model, the target communication content corresponding to the agent is obtained, and then the target communication content is outputted, so that the player character determines a game action to be executed by the agent based on the target communication content. This can not only improve the gaming activity when the real player is battling against the agent, but also enable the real player to know the game intention of the agent so as to cooperate with the agent and improve the gaming quality.

Abstract: Related to are a method and apparatus for game role interaction control, a storage medium, and an electronic device. In the method, a target communication period of an intelligent agent may be dynamically adjusted by the current signal communication information triggered by a game match and the current game state information of the game match, to adjust the frequency of the intelligent agent for sending communication messages in the game match. Therefore, in the case of active communication of real players, the intelligent agent can be prevented from frequently sending communication messages, resulting in a conflict with the communication messages of the real players, and the interference of excessive communication messages on the real players can also be prevented. Moreover, in the case of no communication of the real players, the communication willingness of the real players can be motivated, thereby ensuring a good battle atmosphere for the game match.

Abstract: A method, apparatus, electronic device and storage medium for combat control are provided. The method comprising: determining, according to current game status data and communication information of the target object, a communicated strategic intention of a target object, wherein the communicated strategic intention characterizes a combat target expressed by the communication information; determining, according to the game status data, an initial strategic intention of a virtual object in response to the game state data; determining, according to the initial strategic intention and the communicated strategic intention, the target strategic intention of the virtual object; determining a response action of the virtual object based on the target strategic intention, and controlling the virtual object to perform the response action.

Abstract: The present disclosure relates to the technical field of computers, and in particular to a game character control method and apparatus, a storage medium and an electronic device. In the method, game state information of a game match is adjusted according to game alignments to which an intelligent agent and a player character belong, so as to obtain target state information, a target game intention of the intelligent agent is determined according to the target state information, then a target operation of the intelligent agent in the game match is determined according to the target state information and the target game intention, and the target operation executed by the intelligent agent may be adjusted according to different game situations, so that the intelligent agent can flexibly adjust game actions to provide different playing methods in a human-computer battle.

Abstract: The present invention provides a detection reagent and therapeutic target for B cell tumor after targeted therapy and related applications. The reagent composition comprises 3 groups of antibodies, with the first group of antibodies including an anti-CD38 antibody, an anti-CD10 antibody, an anti-CD34 antibody, an anti-CD19 antibody, an anti-CD24 an antibody, an anti-CD20 antibody, an anti-CD81 antibody, an anti-CD45 antibody; the second group of antibodies including an anti-CD38 antibody, an anti-CD10 antibody, an anti-CD34 antibody, an anti-CD19 antibody, an anti-CD20 antibody, an anti-CD72 antibody, an anti-CD45 antibody; and the third group of antibodies including an anti-cytoplasmic CD79a antibody. The reagent composition of the present invention can be applied for the detection of B-lymphocyte tumors after targeted therapy by flow cytometry.

Abstract: The present disclosure provides a method for generating a backbone network, an apparatus for generating a backbone network, a device, and a storage medium. The method includes: acquiring a set of a training image, a set of an inference image, and a set of an initial backbone network; training and inferring, for each initial backbone network in the set of the initial backbone network, the initial backbone network by using the set of the training image and the set of the inference image, to obtain an inference time and an inference accuracy of a trained backbone network in an inference process; determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process; and obtaining a target backbone network based on the basic backbone network and a preset target network.