CN114712858A - A decision-making method, device, electronic device and computer program product for NPC behavior - Google Patents

Abstract

The invention relates to the technical field of online games, in particular to a NPC behavior decision method, a device, electronic equipment and a computer program product, wherein the NPC behavior decision method comprises the steps of reading a current time parameter and a current position parameter, and forming and acquiring a behavior set matched with the current time parameter and the current position parameter according to the current time parameter and the current position; calculating the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter; the behavior matched with the maximum value of the behavior probability parameter is triggered as a target behavior.

Description

A decision-making method, device, electronic device and computer program product for NPC behavior

technical field

The invention relates to the technical field of online games, in particular to a decision-making method, device, electronic device and computer program product for NPC behavior.

Background technique

NPC generally refers to all characters in the game that are not controlled by the player. With the continuous development of computer games, higher requirements are also put forward for the intelligence of NPCs. It is necessary to consider the intelligent behavior of NPCs in tactics, strategies, and decision-making methods to enhance the playability of the game. At present, the introduction of artificial intelligence is often used in game engines to enhance the intelligence of NPCs. Although these game engines introduced artificial intelligence technology have enhanced the intelligent performance of virtual characters to a certain extent, there are still many deficiencies. Because these game engines require developers to prepare behavioral rules in advance, not only is the development task arduous, but the behavioral patterns of non-player characters are also very limited. Players can easily predict their behavior in the game, which makes the game quickly lose interest and novelty. In addition, these game engines cannot effectively make the virtual characters present the action performance consistent with the game interaction situation, which destroys the immersion of the game player in the game.

SUMMARY OF THE INVENTION

In view of the deficiencies of the prior art, the present invention provides a decision-making method, device, electronic device and computer program product for NPC behavior, wherein,

A decision-making method for NPC behavior, which includes:

Read the current time parameter and the current location parameter, and form a behavior set that matches the current time parameter and location parameter according to the current time parameter and the current location;

Calculate the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter;

A behavior matching the maximum value of the behavior probability parameter is triggered as a target behavior.

Preferably, the above-mentioned decision-making method for NPC behavior, wherein: calculating the occurrence probability of each behavior according to the current time parameter to form a behavior probability parameter specifically includes:

Read the behavior parameter set of the NPC character and the current state parameters of the NPC character; the behavior parameter set includes each behavior and the behavior base probability matching the behavior;

In the state where the state parameter changes, read the behavior parameter adjustment value that matches the state parameter after the change;

According to the parameter adjustment value and the behavior base probability, the current probability of each behavior occurring is adjusted to form the behavior probability parameter.

Preferably, the above-mentioned decision-making method for NPC behavior, wherein: the formation of the state parameters after the change specifically includes:

In the state of obtaining the trigger event, obtain the type of the trigger event;

The state parameter is adjusted in a state that the type of the trigger event matches a preset type.

Preferably, the above-mentioned decision-making method for NPC behavior, wherein: according to the parameter adjustment value and the behavior basic probability, the current probability of each behavior occurrence is adjusted to form the behavior probability parameter, specifically:

forming a first initial value of the basic probability of each behavior according to the parameter adjustment value and the behavior basic probability;

Reading a destination matching the first initial value according to the first initial value;

forming a second adjustment value according to the current location information and the destination;

The behavior probability parameter is formed according to the second adjustment value and the first initial value.

Preferably, the above-mentioned decision-making method for NPC behavior, wherein: also includes:

In the current visual environment, play animation data matching the target behavior according to the target behavior;

In the currently invisible environment, a feature data is formed according to the target behavior, and an association relationship between the feature data and the NPC character is established until the feature data is displayed.

On the other hand, the present application provides a decision-making system for NPC behavior, including:

The reading unit reads the current time parameter and the current position parameter, and forms a behavior set matching the current time parameter and the position parameter according to the current time parameter and the current position;

a behavior probability parameter forming unit, which calculates the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter;

A target behavior forming unit, a behavior matching the maximum value of the behavior probability parameter is triggered as a target behavior.

Preferably, the above-mentioned decision-making system for NPC behavior, wherein: the behavior probability parameter forming unit specifically includes:

The basic probability device reads the behavior parameter set of the NPC character and the current state parameters of the NPC character; the behavior parameter set includes each behavior and the behavior basic probability matching the behavior;

The computing device reads the behavior parameter adjustment value matching the state parameter after the change when the state parameter changes; adjusts the current probability of each behavior occurrence according to the parameter adjustment value and the behavior basic probability to form all the behavior parameters. The described behavior probability parameter.

Preferably, the above-mentioned decision-making system for NPC behavior, wherein: also includes:

The display device, in the current visible environment, plays animation data matching the target behavior according to the target behavior; in the currently invisible environment, forms a characteristic data according to the target behavior, and establishes the characteristic data The association with the NPC character until the feature data is displayed.

In another aspect, the present invention further provides a computer-readable storage medium on which a computer program is stored, wherein when the program is executed by a processor, the decision-making method for any of the above-mentioned NPC behaviors is implemented.

Finally, the present application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the above-mentioned NPC behaviors when executing the computer program decision-making method.

By setting the probability of each behavior occurring at different times and different locations, the target behavior with the highest occurrence probability is obtained according to each time and place. The purpose of adjusting the behavior of the NPC is realized so that the behavior of the NPC is in a random state, and it has a human-like way of thinking and behavior. It enhances the novelty and fun of the game, enables gamers to have a better game experience, and increases the player's sense of experience during the game.

Description of drawings

1 is a schematic flowchart of a decision-making method for NPC behavior provided by the present invention;

2 is a schematic diagram of a table of NPC behavior parameters in a decision-making method for NPC behavior provided by the present invention;

3 is a schematic flowchart of a decision method for NPC behavior provided by the present invention;

4 is a schematic flowchart of a decision-making method for NPC behavior provided by the present invention;

FIG. 5 is a schematic structural diagram of an electronic device provided by the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Example 1

This embodiment provides a decision method for NPC behavior, wherein: each NPC role has a behavior parameter table matching the NPC role, such as shown in FIG. 2, the table records all executable behaviors of the NPC role, such as Including getting up, eating, drinking, fishing, sleeping, falling, each behavior has different probability of occurrence at different times and different locations, including,

Step S110: Read the current time parameter and the current location parameter, and form a behavior set that matches the current time parameter and the location parameter according to the current time parameter and the current location.

The current time parameter is the time when the above decision method is executed. For example, the current time point in the game environment is 8:03, then the time parameter at this time is 8:03. Positional parameters can be achieved through a positioning system in the game environment.

Step S120: Calculate the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter.

The behavior set records all the behaviors that the NPC character can perform, but the probability of each behavior is not fixed. For example, the actions that the current NPC character can perform are: getting up, eating, drinking, fishing, sleeping, and falling, then the NPC character will not perform actions other than the above actions, such as smoking.

Each time behavior is at a different time and at a different location, and different behaviors are set with different probability of occurrence. For example, at nine o'clock, NPC character A is by the river, and NPC character A originally planned to have 100% at this time. The probability of walking to the hotel to work and walking home to change clothes is 10%. However, due to the sudden change in the weather, it began to rain heavily. The distance from the current location of NPC character A to the hotel is 2 kilometers. The distance from the location to home is 0.2 kilometers, the probability of NPC character A walking to the hotel is reduced to 20%, and the probability of walking home to avoid the rain is increased from 10% to 100%.

Step S130, the behavior matching the maximum value of the behavior probability parameter is triggered as the target behavior. The target behavior is the behavior performed by the NPC character A.

In the above-mentioned decision-making method for NPC behavior, by setting the probability of occurrence of each behavior at different times and different locations, the target behavior with the highest occurrence probability is obtained according to each time and place. The purpose of adjusting the behavior of the NPC is realized so that the behavior of the NPC is in a random state, and it has a human-like way of thinking and behavior. It enhances the novelty and fun of the game, enables gamers to have a better game experience, and increases the player's sense of experience during the game.

As a further preferred embodiment, in step S120, calculating the occurrence probability of each behavior according to the current time parameter to form a behavior probability parameter specifically includes:

Step S1201, read the behavior parameter set of the NPC character and the current state parameters of the NPC character; the behavior parameter set includes each behavior and the behavior basic probability matching the behavior;

The current state parameter is determined according to the current state of the NPC character. For example, if the current NPC character picks up gold, then the NPC character is in an excited state, and if the current NPC character falls, then the NPC character is in a lost state. This state parameter directly affects the probability of an action occurring.

The technical probability is the probability value recorded in the current behavior list, and the probability value may be the initial probability value or the adjusted probability value of the last trigger behavior, which is not specifically limited here.

Step S1202, in the state where the state parameter changes, read the behavior parameter adjustment value that matches the state parameter after the change; for example, the original state of the NPC character is the excited state, and the original excited state changes from the original excited state due to a fall. If it becomes a lost state, it is considered that the state parameters have changed at this time.

It should be noted that the change of the state parameter is based on the change of the action or event. In a state where no action or event is triggered, the probability of state parameters changing is low.

After the state parameter changes, the state parameter combined with the character parameter of the NPC character will form the changed behavior adjustment value.

For example, an NPC character is currently in a state of excitement and suddenly falls down, but because the NPC character's behavior is cheerful and optimistic, although the fall behavior affects the state parameters, the influence ability is relatively weak, and the behavior matches the changed state parameters. The adjustment range of the parameter adjustment value is relatively small.

For another example, the NPC character is also in a state of excitement and suddenly falls down. However, since the NPC character's behavior is of the depressed and pessimistic type, the falling behavior directly affects the state parameters, and the influence ability is relatively large, which is further related to the state parameters after the change. The adjustment range of the matching behavior parameter adjustment value is relatively large.

The formation method of the state parameters after the change is specifically:

Step S12021 , in the state where the trigger event is obtained, obtain the type of the trigger event; wherein the trigger event can be understood as an event or behavior that can change state parameters. The trigger event can be preset or random. The types of trigger events include at least sensitive or insensitive.

For example, NPC characters are more sensitive to certain events, and some events are relatively insensitive. For example, NPC characters are relatively insensitive to "being knocked down", but are more sensitive to their "falling into the water", then when the trigger event is "being knocked down" ", the probability of the NPC's state parameters changing greatly is small, and when the trigger event is "falling into the water", the probability of the NPC's state parameters changing greatly is high.

Step S12022: Adjust the state parameter in a state that the type of the trigger event matches a preset type. Different adjustment state parameters are formed according to different types of trigger events.

Step S1203: Adjust the current probability of each behavior according to the parameter adjustment value and the behavior basic probability to form the behavior probability parameter. specifically:

Step S12031, forming the first initial value of the basic probability of each behavior according to the parameter adjustment value and the basic probability of the behavior;

Step S12032: Read the destination matching the first initial value according to the first initial value;

Step S12033, forming a second adjustment value according to the current location information and the destination;

Step S12034: Form the behavior probability parameter according to the second adjustment value and the first initial value.

The first initial value is used to filter the possible destinations of the NPC character. For example, when the NPC falls down, the possible destinations are bars, riverside and home, then according to the probability value of bar, riverside and home Lifting, that is, forming the first initial value of the bar, the first initial value of the river, and the first initial value of the home. Continue to address the bar, the riverside, and the home from the current location to form a second adjustment value. The second adjustment value is used to determine the final destination. For example, the bar is closest to the current destination, and the second adjustment value of the bar is 90. , the riverside is the farthest from the current destination, the second adjustment value of the riverside is 10, the home is moderately far from the current destination, and the second adjustment value of the home is 50, and then according to the second adjustment value, the first initial The values and their respective weights form the probability parameters.

As a further preferred embodiment, it also includes:

Step S140, in a currently visible environment, playing animation data matching the target behavior according to the target behavior; in a currently invisible environment, forming a feature data according to the target behavior, and establishing the feature data The association with the NPC character until the feature data is displayed. The visual environment is within the visual range of the player, and the animation data matching the target behavior is played at this time. For example, when an NPC falls down and stops working, and chooses to go to a bar to drink, then the animation data of going to a bar to drink will be played. It is not allowed to make the environment where there is no player around the NPC. For example, the NPC falls down and is covered with mud. Since there is no player around at this time, the picture of the NPC falling will not be observed by the player. In fact, on a technical level "Fall down" and "dirt" are only characteristic data, which will be displayed when the NPC is in the visible environment.

Embodiment 2

On the other hand, the present application provides a decision-making system for NPC behavior, including:

The reading unit reads the current time parameter and the current position parameter, and forms a behavior set matching the current time parameter and the position parameter according to the current time parameter and the current position;

a behavior probability parameter forming unit, which calculates the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter;

A target behavior forming unit, a behavior matching the maximum value of the behavior probability parameter is triggered as a target behavior.

Preferably, the above-mentioned decision-making method for NPC behavior, wherein: the behavior probability parameter forming unit specifically includes:

The basic probability device reads the behavior parameter set of the NPC character and the current state parameters of the NPC character; the behavior parameter set includes each behavior and the behavior basic probability matching the behavior;

The computing device reads the behavior parameter adjustment value matching the state parameter after the change when the state parameter changes; adjusts the current probability of each behavior occurrence according to the parameter adjustment value and the behavior basic probability to form all the behavior parameters. The described behavior probability parameter.

Preferably, the above-mentioned decision-making method for NPC behavior, wherein: also includes:

The display device, in the current visible environment, plays animation data matching the target behavior according to the target behavior; in the currently invisible environment, forms a characteristic data according to the target behavior, and establishes the characteristic data The association with the NPC character until the feature data is displayed.

The working principle of this embodiment is the same as that of the first embodiment, so it will not be described in detail.

Embodiment 3

The embodiment of the present application provides an electronic device, and the electronic device can integrate the apparatus for influencing NPC behavior performance based on the environment attribute provided by the embodiment of the present application. FIG. 5 is a schematic structural diagram of an electronic device according to Embodiment 4 of the present application. As shown in FIG. 5 , this embodiment provides an electronic device 400, which includes: one or more processors 420; and a storage device 410 for storing one or more programs, when the one or more programs are The one or more processors 420 operate such that the one or more processors 420 implement:

Read the current time parameter and the current location parameter, and form a behavior set that matches the current time parameter and location parameter according to the current time parameter and the current location;

Calculate the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter;

A behavior matching the maximum value of the behavior probability parameter is triggered as a target behavior.

As shown in FIG. 5 , the electronic device 400 includes a processor 420 , a storage device 410 , an input device 430 and an output device 440 ; the number of processors 420 in the electronic device may be one or more, and one processor 420 is used in FIG. 5 . For example; the processor 420 , the storage device 410 , the input device 430 and the output device 440 in the electronic device may be connected by a bus or in other ways, and the connection by the bus 450 is taken as an example in FIG. 2 .

As a computer-readable storage medium, the storage device 410 can be used to store software programs, computer-executable programs, and module units, such as program instructions corresponding to the method for influencing NPC behavior performance based on environmental attributes in the embodiments of the present application.

The storage device 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Additionally, storage device 410 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, storage device 410 may further include memory located remotely from processor 420, the remote memory may be connected through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

The input device 430 may be used to receive input numbers, character information or voice information, and generate key signal input related to user settings and function control of the electronic device. The output device 440 may include a display screen, a speaker, and the like.

Embodiment 4

In some embodiments, the methods described above may be implemented as a computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for carrying out various aspects of the present disclosure. specifically:

Read the current time parameter and the current location parameter, and form a behavior set that matches the current time parameter and location parameter according to the current time parameter and the current location;

Calculate the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter;

A behavior matching the maximum value of the behavior probability parameter is triggered as a target behavior.

The computer-readable storage medium described above may be a tangible device that can hold and store instructions for use by the instruction execution device. The computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of computer readable storage media include: portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM) or flash memory), static random access memory (SRAM), portable compact disk read only memory (CD-ROM), digital versatile disk (DVD), memory sticks, floppy disks, mechanically coded devices, such as printers with instructions stored thereon Hole cards or raised structures in grooves, and any suitable combination of the above. Computer-readable storage media, as used herein, are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (eg, light pulses through fiber optic cables), or through electrical wires transmitted electrical signals.

The computer readable program instructions described herein may be downloaded to various computing/processing devices from a computer readable storage medium, or to an external computer or external storage device over a network, eg, the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer-readable program instructions from a network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .

Computer program instructions for carrying out operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or instructions in one or more programming languages. Source or object code written in any combination, including object-oriented programming languages, and conventional procedural programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider through the Internet connect). In some embodiments, custom electronic circuits, such as programmable logic circuits, field programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), can be personalized by utilizing state information of computer readable program instructions. Computer readable program instructions are executed to implement various aspects of the present disclosure.

These computer readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer or other programmable data processing apparatus to produce a machine that causes the instructions when executed by the processing unit of the computer or other programmable data processing apparatus , resulting in means for implementing the functions/acts specified in one or more blocks of the flowchart and/or block diagrams. These computer readable program instructions can also be stored in a computer readable storage medium, these instructions cause a computer, programmable data processing apparatus and/or other equipment to operate in a specific manner, so that the computer readable medium storing the instructions includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks of the flowchart and/or block diagrams.

Computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other equipment to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other equipment to produce a computer-implemented process , thereby causing instructions executing on a computer, other programmable data processing apparatus, or other device to implement the functions/acts specified in one or more blocks of the flowcharts and/or block diagrams.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more functions for implementing the specified logical function(s) executable instructions. In some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.

Various embodiments of the present disclosure have been described above, and the foregoing descriptions are exemplary, not exhaustive, and not limiting of the disclosed embodiments. Numerous modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen to best explain the principles of the embodiments, the practical application or technical improvement over technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (10)

1. A decision method for NPC (neutral Point coordination) behaviors is characterized by comprising the following steps:

reading the current time parameter and the current position parameter, and forming a behavior set matched with the current time parameter and the current position parameter according to the current time parameter and the current position;

calculating the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter;

the behavior matched with the maximum value of the behavior probability parameter is triggered as a target behavior.

2. The method of claim 1, wherein the NPC behavior decision-making method comprises: the calculating the occurrence probability of each behavior according to the current time parameter to form a behavior probability parameter specifically includes:

reading a behavior parameter set of the NPC role and the current state parameter of the NPC role; the behavior parameter set comprises each behavior and a behavior base probability matched with the behavior;

reading a behavior parameter adjustment value matched with the changed state parameter under the state that the state parameter is changed;

and adjusting the probability of each current action according to the parameter adjustment value and the action basic probability to form the action probability parameter.

3. The method of claim 2, wherein the NPC behavior decision-making method comprises: the forming of the changed state parameters specifically comprises:

acquiring the type of a trigger event under the condition of acquiring the trigger event;

and adjusting the state parameters under the condition that the type of the trigger event is matched with a preset type.

4. The method of claim 2, wherein the NPC behavior decision-making method comprises: adjusting the probability of each current behavior according to the parameter adjustment value and the behavior base probability to form the behavior probability parameter, specifically:

forming a first initial value of each behavior basic probability according to the parameter adjustment value and the behavior basic probability;

reading a destination matched with the first initial value according to the first initial value;

forming a second adjustment value according to the current position information and the destination;

and forming the behavior probability parameter according to the second adjusting value and the first initial value.

5. The method of claim 1, wherein the NPC behavior decision-making method comprises: further comprising:

playing animation data matched with the target behavior according to the target behavior in a current visual environment;

and forming characteristic data according to the target behavior in the current invisible environment, and establishing the association relationship between the characteristic data and the NPC role until the characteristic data is displayed.

6. A decision making system for NPC behavior, characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,

the reading unit is used for reading the current time parameter and the current position parameter and forming a behavior set matched with the current time parameter and the current position parameter according to the current time parameter and the current position;

the behavior probability parameter forming unit is used for calculating the occurrence probability of each behavior in the behavior set according to the current time parameter and the current environment to form a behavior probability parameter;

and the target behavior forming unit is used for triggering the behavior matched with the maximum value of the behavior probability parameter as the target behavior.

7. The system of claim 6, wherein the NPC behavior decision-making system comprises: the behavior probability parameter forming unit specifically includes:

the basic probability device reads a behavior parameter set of the NPC role and the current state parameter of the NPC role; the behavior parameter set comprises each behavior and a behavior base probability matched with the behavior;

the calculating device reads a behavior parameter adjusting value matched with the changed state parameter in the state that the state parameter changes; and adjusting the probability of each current action according to the parameter adjustment value and the action basic probability to form the action probability parameter.

8. The system of claim 6, wherein the NPC behavior decision-making system comprises: further comprising:

the display device plays animation data matched with the target behavior according to the target behavior in a current visual environment; and forming characteristic data according to the target behavior in the current invisible environment, and establishing the association relationship between the characteristic data and the NPC role until the characteristic data is displayed.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the decision-making method for the NPC behaviour according to any one of claims 1 to 5 when executing the computer program.

10. A computer program product, comprising computer readable code or a readable storage medium carrying computer readable code, which when run in a processor of an electronic device, the processor in the electronic device performs a decision method for implementing the NPC behaviour of any one of claims 1 to 5.

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