Novel intelligent computer structure developed based on human thinking mode

Abstract

The method can be widely applied to the field of various intelligent machines, and mainly solves the problems of mechanization and dull eternal encoding process of a modern computer. In order to solve the problem, the intelligent computer which can accumulate error experience and correct errors is constructed by referring to a mode that human beings see errors and draw errors and a mode that the errors are corrected. The main purpose of the invention is to consciously upload the information to a computer to open up a way and find a direction sheet.

Description

[0001] Aims to realize according to the human thought, the thought of the time to let the machine also produce the robot similar to "thinking". TECHNICAL FIELD

[0002] Intelligent robot, artificial intelligence, industrial robot, cluster robot mechanical semi-artificial intelligence, industrial mother machine SUMMARY

[0003] 1. Human thought algorithm artificial intelligence computer scheme simulating human thought thinking mode

[0004] 2. Primary intelligent algorithm, negative algorithm logic structure

[0005] 3. The structure of the project through negative logic to achieve learning

[0006] 4. Cluster intelligent robot, autonomous operation structure

[0007] 5 Language type A use structure based on negative structure system

[0008] 6 Ingenious use of chimeric and embedded structure

[0009] 7 Method of using human thought language mechanical fly-up BACKGROUND

[0010] Computer field, innovative structure technology

[0011] Specific implementation

[0012] 1 Start from three aspects,

[0013] About input: a piece of data through this computer, because the computer itself is always in a chimeric state, all data will be chimeric in the computer, the data in the computer will be chimeric by the data port left by the concept project group, and the concept project group is self-contained with a self-defined compiler. After the data is compiled, it will be processed and run in the concept project group. However, if all concepts of this information are not activated successfully, then this information will be sent to the violation area, at this time the information can be manually processed in the violation area, view what the data is, and assign attributes to the data and reset the interface.

[0014] About storage: the computer host itself chimeric all data directly, so the data stored in the data interface left by the concept project group, once the data interface is chimeric successfully, the concept project group will be activated, and the concept project group stores data relative to the concept.

[0015] Regarding operation: Multiple concept project groups can run in parallel and sequentially, with jump interfaces between them. If the signal is an image, the computer will typically open and process each interface one by one after the image enters the computer. If you don't want to search each one individually, you can create a small, self-starting, optimized running group. First, perform data analysis. If the data format is determined to be an image, the image concept group is activated. If the image is made of metal and represents a robot used in the industrial field, then material analysis, proportion analysis, and production process projects will be opened.

[0016] The system space is divided into two parts. The first part is the port for the robot's pre-stored operating logic. Once the information interface reserved by the project is triggered by new information, the project will be activated. The second part is the incongruity area, where information that cannot be triggered is waiting to be identified by humans and retrieved by the project in the next iteration.

[0017] The three conceptual projects achieve their simple learning logic through the following steps: 1. Retrieving new information from the parent area that cannot be activated, and assigning it to the self-project for further subdivision and repeated storage until no further subdivision is possible, at which point the system returns to the incongruity area. This ensures that each piece of information can activate one or more projects. 2. When information is taken away, an interface for activatable information is reserved in the parent area. When the parent area retrieves this information that can activate a secondary project, it activates the stimulus project and begins operation.

[0018] 4. When the language module has matured in its autonomous learning, it can begin to run autonomously through a cluster of robots. Specifically, two language robots will detect each other's status and give specific activation signals when a specific status is reached.

[0019] 5. Language Type A Usage Structure Based on Negation Structure System: 1. Upon receiving specific behavioral logic, the language-reserved port activates a special action for that specific item. 2. Special system permissions are activated via language, allowing the use of language to add, modify, and delete items within the system. 3. Special language machines are designated, which, under specific circumstances, can activate the system to modify other machines.

[0020] The 6 system is in a normally open, embedded state. Any data entering the system is first embedded in the storage space. If it cannot be joined by the port, it will be discharged to the incongruity area. This is the system's judgment method. The concept project group is in a normally closed, embedded state. Only when the system has information about the concept project group that is activated will the project group be activated. Then the concept project will be integrated with the system and become a running program.

[0021] 7. Using a memory that stores a large amount of personal life experiences, personal thoughts act as a compiler, are implanted into the storage space, and are merged to achieve mechanical flight.

Claims

1. About input: a piece of data goes through the computer, as the computer itself is always in a state of embedded always open, all data will be embedded in the computer, the data in the computer will be embedded by the data port left by the concept project group, and the embedded success will activate the corresponding concept project group. The concept project group is self-contained with a self-compiler. After the data is compiled, it will be processed and run in the concept project group. However, if all concepts of this information are not successfully activated, the information will be sent to the violation area, which can be manually processed in the violation area at this time. Check what the data is and assign attributes to the data and reset the interface. About storage: the computer host itself embeds all data directly, so the data stored in the data interface left by the concept project group. Once the data interface is successfully embedded, the concept project group will be activated. The concept project group stores data related to the concept About running: concept project groups can be parallel, run in sequence, and have jump interfaces between concept groups. If it is a picture signal, the computer will open and process it one by one after the picture enters the computer. If you don't want to find one by one, you can establish a small self-starting optimization running group to perform data analysis first. Analyze the format of the data, activate the image concept group, and if the picture is made of metal and is a robot used in the industrial field, open the material analysis project, proportion analysis, production process project, etc.

2. System space is divided into two parts, the first part is the port of the robot pre-stored running logic, and the information interface reserved by the project will be activated once triggered by new information. The second part is the violation area, which is information that cannot be triggered, waiting for manual identification and letting the next project retrieval take away.

3. Concept project simple learning logic achieved way, respectively 1 search the new information in the upper area that cannot be activated, and allocate to the self project to carry on the operation of subdividing the repeated storage area, until it cannot be divided, it will return to the violation area. Achieve every piece of information can activate a project, or multiple projects. 2 When taking away information, reserve the information interface that can be activated in the upper area. The upper area retrieves the information that can activate the secondary project and activates the stimulating project to start running.

4. When the language module learns maturely, it can start to run autonomously through the way of cluster robots. The specific way is that two language robots detect each other's state, and when a specific state is reached, a specific activation signal is given.

5. Language type A using structure based on negative structure system: 1 Language reserved port activates the special action of the special project after receiving a specific behavior logic. 2 Through the special permission of the language activation system, you can use the language to add, modify, and delete projects in the system. 3 Set up a special language robot that can activate the system to modify other robots under certain circumstances.

6. The system is a chimeric normally open state, any data into the first in storage space for chimeric, unable to be port joint, will be discharged to the violation of the area, this is the system of judgment, the concept of project group is embedded normally closed state, only the system has the concept of project group information is activated, will lead to the project group is activated, then the concept of project will be integrated with the system, become the running program.

7. Use the storage of a large number of personal life experience experience memory, personal thought for compiler, implant storage space, to achieve the merger of mechanical life.