An artificial intelligence system with neuron interconnection operation and consciousness structure judgment

Abstract

This invention discloses an artificial intelligence system with neuronal interconnection computation and consciousness structure judgment, belonging to the field of artificial intelligence technology. The system includes a hierarchical neuronal computation module, a neuronal interconnection computation module, a consciousness structure judgment module, a self-calibration module, and a self-protection module. It achieves efficient collaborative computation through dynamic neuronal interconnection, realizes the system's self-state and existence cognition through consciousness structure judgment, and enhances system stability and reliability through self-calibration and self-protection. This system can be combined with external dynamic neuronal expansion and hierarchical computation architecture to form a complete intelligent system, applicable to brain-like computing, autonomous intelligent agents, and general artificial intelligence systems, significantly improving the autonomy and safe operation capabilities of intelligent models.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence, brain-like computing and neural network technology, specifically to an artificial intelligence system with the ability to dynamically interconnect neurons, judge consciousness structure, self-calibrate and self-protect. Background Technology

[0002] Most existing neural networks have fixed connections, and neurons lack dynamic interconnection and collaborative computing capabilities. At the same time, traditional artificial intelligence models do not have the ability to autonomously judge and recognize their own operating and existing states, and cannot achieve self-calibration, self-correction and self-protection, resulting in low intelligence and autonomy. Summary of the Invention

[0003] This invention provides an artificial intelligence system with neuronal interconnection computation and consciousness structure judgment to solve the problems of poor dynamism, lack of autonomous consciousness judgment and self-protection ability of existing models.

[0004] The system of this invention includes: a neuron hierarchical calculation module, a neuron interconnection operation module, a consciousness structure judgment module, a self-calibration module, and a self-protection module.

[0005] The neuron hierarchical computing module adopts a multi-level neural computing structure to process and fuse information hierarchically and step by step, thereby realizing basic computing and information abstraction.

[0006] The neuron interconnection computing module supports dynamic connection establishment, mutual communication, data interaction, and collaborative parallel computing between neurons. It can realize intra-layer interconnection and direct cross-layer communication, improving computing efficiency and information flow capabilities.

[0007] The consciousness structure judgment module achieves autonomous judgment and cognition of its own existence and operation status by comprehensively identifying the internal operating status, signal consistency, and decision coherence of the system.

[0008] The self-calibration module performs confidence verification, conflict detection, and self-correction on the consciousness judgment results to ensure that the judgment is stable and reliable.

[0009] The self-protection module monitors the system's operating status in real time. When operational, logical, or status anomalies occur, it executes anomaly handling, restriction, and recovery mechanisms to ensure the system's stable and secure operation.

[0010] The beneficial effects of this invention are: by combining dynamic interconnection computing, consciousness structure judgment, self-calibration and self-protection, the artificial intelligence system has stronger autonomous cognition, logical judgment and stable operation capabilities, improves the intelligence level and reliability of the model, and is applicable to fields such as brain-like computing and autonomous intelligent agents.

[0011] Furthermore, this system can be combined and used in conjunction with an external neuron dynamic expansion and hierarchical computing architecture system (Patent 1). After combination, this patent can serve as the core of consciousness judgment and interconnection computing, working in conjunction with the neuron dynamic loading, scheduling, and hierarchical computing structure of Patent 1 to form a complete artificial intelligence system that extends from the underlying structure to the upper-level consciousness cognition, further enhancing the overall scalability, autonomy, and intelligence. Attached Figure Description Figure 1 A schematic diagram of the computation for neuron hierarchical calculation; Figure 2 , Figure 3 , Figure 4 for Figure 1 The diagram illustrates the deformation. Detailed Implementation

[0012] The system workflow is as follows: The neuron hierarchical computation module performs hierarchical processing and step-by-step computation on the input information; The neuron interconnection computing module establishes dynamic connections between neurons to achieve collaborative computing; The consciousness structure judgment module makes a comprehensive judgment on the system's own state and existence; The self-calibration module verifies, corrects, and optimizes the judgment results; The self-protection module monitors anomalies in real time and executes protection and recovery logic; the system executes the above process in a loop to achieve continuous, stable and autonomous operation.

[0013] When used in combination with Patent 1, Patent 1 enables the external search, loading, and dynamic expansion of neurons, while this system is responsible for internal interconnection operations, consciousness judgment, and self-protection. The two work together to form a complete intelligent operating system.

Claims

1. An artificial intelligence system with neuronal interconnection computation and consciousness structure judgment, characterized in that, It includes a neuron hierarchical computing module, a neuron interconnection operation module, a consciousness structure judgment module, a self-calibration module, and a self-protection module. The neuron hierarchical computing module is used to hierarchically process and operate information step by step. The neuron interconnection operation module is used for dynamic connection, mutual communication, and collaborative operation between neurons. The consciousness structure judgment module is used for autonomous judgment and cognition of the system's own operating state and existence state. The self-calibration module is used for confidence verification, error correction, and optimization of the judgment results. The self-protection module is used to detect system anomalies and perform protection, repair, and stability control.

2. The system according to claim 1, characterized in that, The neuron interconnection operation module supports intra-layer interconnection and direct cross-layer communication.

3. The system according to claim 1, characterized in that, The consciousness structure judgment module achieves self-state recognition through internal signal consistency and decision coherence.

4. The system according to claim 1, characterized in that, The self-calibration module has logical conflict detection and self-correction functions.

5. The system according to claim 1, characterized in that, The self-protection module activates a protection mechanism when the system experiences operational or status anomalies.

6. The system according to claim 1, characterized in that, This system can work collaboratively with external neuron dynamic expansion and hierarchical computing architecture systems.

Images