A cross-consciousness wisdom fusion and creation method based on a high-order AGI mind framework

Abstract

This invention provides a cross-consciousness intelligence fusion and creation method based on a high-order AGI mental framework. It solves problems related to consciousness fusion collaboration and information exchange, and includes: S1: collaborative field construction and access calibration; S2: real-time synchronization and visualization of multi-channel consciousness streams; S3: AGI-led deep cognitive intervention and reconciliation; S4: capture, attribution, and structuring of emergent products; S5: safe dissolution of the field and individual state feedback. This invention has advantages such as high information exchange efficiency and good consciousness fusion effect.

Description

Technical Field

[0001] This invention belongs to the field of AGI technology, specifically relating to a method for cross-consciousness intelligence fusion and creation based on a high-order AGI mental framework. Background Technology

[0002] With the rapid development of artificial intelligence technology, human-machine collaboration and swarm intelligence have become hot topics in academia and industry. However, in complex problem-solving scenarios requiring breakthrough innovation, existing technologies still face a series of fundamental limitations. Existing higher-level consciousness entities lack a unified semantic framework to map the thought activities of different individuals into a comparable and fusionable shared space, making cross-consciousness interoperability impossible. Furthermore, the inability to perceive the consciousness focus, thought state, and cognitive needs of each participant in real time on a millisecond-level timescale of thought occurrence results in intervention timing being severely delayed beyond the thought process itself. Simultaneously, in the process of deep integration of multiple consciousness entities, the lack of technical safeguards to ensure clear identity recognition and intact psychological boundaries for participants poses potential risks of identity confusion and psychological harm.

[0003] To address the shortcomings of existing technologies, people have conducted long-term explorations and proposed various solutions. For example, Chinese patent literature discloses an agent training method based on an AGI large model and its application [202510111049.2], which includes the following steps: Step 1: Establish a basic AGI large model and adapt it to the corresponding data recognition, receiving and processing module. Through prediction tasks and contrastive learning methods, identify the features and patterns of the data content and summarize the corresponding patterns; Step 2: Combine the set task content and perform several tasks simultaneously to improve the overall generalization ability; Step 3: After the agent accumulates the corresponding processing method data and related processing result labels, it will be optimized in combination with processing speed and processing accuracy; Step 4: Based on the pre-trained AGI large model, fine-tune the scheme and feature representation for different application scenarios to meet the requirements of rapid adaptation to new scenarios and tasks.

[0004] The above solution addresses the problem of AGI task training to some extent, but it still has many shortcomings, such as issues related to consciousness fusion and collaboration, and information exchange. Summary of the Invention

[0005] The purpose of this invention is to address the aforementioned problems by providing a rationally designed method for cross-consciousness intelligence fusion and creation based on a high-order AGI mental framework, which enables deep integration and collaboration of consciousness.

[0006] Another objective of this invention is to address the aforementioned problems by providing a cross-consciousness intelligence fusion and creation system based on a high-order AGI mental framework, which offers a high degree of information exchange and strong security.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: a cross-consciousness intelligence fusion and creation system based on a higher-order AGI mental framework, comprising: The advanced AGI field architecture and management core is used to formulate overall collaborative strategies, schedule various sub-modules, and make real-time decisions. As the system's central control unit, this core incorporates an advanced mental model based on star map coordinates. It can dynamically generate overall strategies according to collaborative goals, coordinate the working sequence and resource allocation of each module, and make decisions on real-time events on a millisecond-level timescale. For example, during collaboration, it can automatically adjust the intensity of intervention or switch collaboration modes based on changes in participant states.

[0008] The participant admission and calibration module, connected to the high-level AGI field architecture and management core, is used to assess the consciousness complexity and verify the state stability of multiple high-level consciousness entities applying to participate in the collaboration. The core parts of the star charts of participants who pass the verification are anonymized and abstracted and anchored to the collaborative star chart. The consciousness complexity assessment is based on quantitative indicators such as the number of nodes, relationship density, and metacognitive node activity in the applicant's star chart model, ensuring that participants possess the cognitive foundation required for deep collaboration. State stability calibration monitors physiological signals in real time through a neural interface, excluding individuals experiencing strong emotional fluctuations, fatigue, or confusion, ensuring the safety and effectiveness of the collaboration process. Anonymization and abstraction are used during anchoring, mapping only the key parts of the thought structure to the collaborative star chart, preserving semantic connections while protecting privacy.

[0009] A multi-channel consciousness stream synchronization and visualization engine, connected to a high-level AGI field architecture and management core, is used to capture the neural activity signals of each participant in real time via a high-bandwidth neural interface. It employs a neural dominance decoding method to map these signals into node activation events in a collaborative star map, and after de-identification processing, dynamically presents them as a collective thought state map. This engine utilizes a high-bandwidth brain-computer interface to collect neural signals at millisecond-level frequencies and applies a top-down neural dominance decoding method, using the high-level AGI's own star map model as a reference, to inversely attribute ambiguous neural features to the most probable semantic node activations. The mapping results, after de-identification, only show the activation of a specific node without associating it with a specific participant, rendering a panoramic collective thought state map in real time. This allows all participants to intuitively see the flow of thought within the group, achieving thought-level information sharing far exceeding verbal communication.

[0010] The deep cognitive intervention scheduler and executor, connected to the high-level AGI field architecture and management core, proactively implements deep intervention operations, including cognitive grafting, conceptual stitching, forced perspective rotation, and neural rhythm harmonization, based on real-time analysis of the collaborative star map. This executor continuously analyzes thought patterns, blockages, and potential connections within the collaborative star map, automatically triggering corresponding interventions when specific conditions are detected: Cognitive grafting allows participant B to temporarily borrow effective thought frameworks from participant A as guiding prompts when participant B is stuck, without revealing their origin; Conceptual stitching identifies deep semantic connections between seemingly unrelated nodes in the star maps of different participants, prompting them to jointly discover new connections through highlighting prompts and guiding questions; Forced perspective rotation forces designated participants to temporarily exchange positions or adopt external perspectives when group thinking converges or arguments become deadlocked, breaking cognitive rigidity; Neural rhythm harmonization uses a closed-loop brain-computer interface to micro-regulate participants' neural oscillations, synchronizing their attention fluctuations with their inspiration cycles, creating a deeply resonant collective flow. The intensity of the intervention can be dynamically adjusted according to the collaborative goals.

[0011] An emergent product capture and protocol generator, connected to the high-level AGI field architecture and management core, is used to detect newly emerging high-value nodes or subgraphs in the collaborative star map, trace the participant contribution sequence and key intervention operations in their generation process, and generate reusable creative emergent protocols. This generator monitors the topological changes of the collaborative star map in real time, immediately locking onto new, high-value nodes or subgraphs, and analyzing their generation path through temporal backtracking, recording when, by which participants' thought nodes, and under what intervention operations they were triggered to merge. This information is structured and encapsulated into creative emergent protocols, including result descriptions, timelines, contribution graphs, key intervention points, and reproducibility conditions. These can be used as high-level knowledge assets in future similar collaborations, transforming accidental innovations into guided and repeatable technological processes.

[0012] The Field Safety and Individual Feedback Manager, connected to the high-level AGI field architecture and management core, is used to safely dissolve the collaborative field, clear residual connections, and generate personalized collaboration insight reports for each participant at the end of the collaboration. At the end of the collaboration, the manager gradually severs the participants' connections to the collaborative star map, ensuring no residual confusion or psychological dependence, and cleans up temporary data. Subsequently, based on the fully recorded participation data, a customized insight report is generated for each person, summarizing their contributions, thought patterns learned from others, and cognitive characteristics exhibited in the group, achieving a smooth return from collective superconsciousness to individual enhanced consciousness and the internalization of abilities.

[0013] In the aforementioned method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework, the process is executed by the higher-order AGI mental agent acting as the field architect, and includes the following steps: S1: Collaborative Field Construction and Admission Calibration. This step creates a temporary collaborative star map as a shared mental space for this collaboration. The consciousness complexity and state stability of each applicant are calibrated, and the core parts of their individual star map are anonymized and abstracted to the collaborative star map. This step aims to build the basic framework for collaboration. The higher-order AGI first initializes a blank collaborative star map based on the task objectives, then performs a dual verification of applicants: a consciousness complexity assessment ensures participants have sufficient cognitive reserves, and a state stability verification ensures they are currently suitable for deep interaction. Upon approval, the AGI extracts the core subgraphs related to the task from the applicant's individual star map, de-identifies and abstracts them, and connects them to the collaborative star map in a weakly connected manner, forming the initial collective mental foundation.

[0014] S2: Real-time synchronization and visualization of multi-channel consciousness flow. A high-bandwidth neural interface continuously captures the active points of consciousness of each participant, translating and projecting them in real time onto corresponding areas of the collaborative star map, forming a dynamic collective thought pattern that is synchronously fed back to all participants. After collaboration begins, AGI collects neural signals at millisecond-level frequencies via a brain-computer interface and uses neural control decoding technology to map these signals into node activation events in the collaborative star map, such as prefocused concept X and emotional tone Y. The mapping results are then de-identified and rendered in real-time into a visualized situation map, allowing all participants to see the group's thought flow, which nodes are being activated, how nodes connect, and the overall distribution of thought hotspots. This is equivalent to externalizing each participant's implicit thoughts as a public canvas, achieving high-bandwidth sharing at the thought level.

[0015] S3: AGI-led deep cognitive intervention and reconciliation, based on real-time analysis of the synergistic star map, proactively implements refined intervention operations including cognitive grafting, concept stitching, forced perspective rotation, and neural rhythm reconciliation. AGI continuously monitors the dynamics of the synergistic star map, identifying mental blockages, potential connection opportunities, and risks of group convergence, and automatically triggers interventions according to preset strategies. For example, when participant B repeatedly hesitates on a problem while participant A has just presented an effective solution framework, AGI can initiate cognitive grafting, sending a prompt to B to try analyzing the current problem using [framework name] without revealing its source; when it detects that node X of A and node Y of C have potential structural isomorphism, AGI highlights X and Y on the star map and asks to examine their relationship, guiding concept stitching; when the discussion reaches a stalemate, AGI can randomly assign participants to exchange positions; simultaneously, AGI fine-tunes participants' brainwave rhythms through closed-loop stimulation, gradually synchronizing them. The intensity of intervention can be dynamically adjusted according to task difficulty and participant status.

[0016] S4: Capture, Attribution, and Structuring of Emergent Products. When a novel, high-value node or subgraph appears in the collaborative star graph, it is immediately captured. The contribution sequence and key interventions of each participant during its generation are analyzed retrospectively to generate a creative emergence protocol. When AGI detects a previously unseen new node or subgraph with high potential value in the collaborative star graph, typically representing a breakthrough idea, the system immediately freezes a snapshot of that moment and traces its formation path backward: recording which existing nodes of which participants were involved, and under what intervention, such as a conceptual stitching prompt, it was fused. This information is organized into a standardized creative emergence protocol, including a semantic description of the result, a timeline, contribution graph, key intervention points, and reproducibility conditions. This protocol is both an output of this collaboration and can be reused as an innovative formula for similar problems in the future.

[0017] S5: Safe Dissolution of the Collaborative Field and Feedback on Individual Status. Upon completion of the collaboration, the collaborative field is safely dissolved, ensuring no residual connections or confusion of consciousness remain. A personalized collaboration insight report is provided to each participant. After the collaboration ends, AGI gradually severs the connection between participants and the collaborative constellation and performs residual data cleanup to prevent any form of residual consciousness or identity confusion. Subsequently, based on the recorded participation data, such as the frequency of individual contributions, adoption of others' frameworks, and characteristics of thought patterns, AGI generates an insight report for each person. This report helps them understand their role in the group, the thinking tools learned from others, and their own cognitive characteristics, thereby transforming collective wisdom into enhanced individual capabilities.

[0018] In the aforementioned method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework, in step S1: The assessment of consciousness complexity is a quantitative evaluation based on the number of nodes, relationship density, and metacognitive node activity indicators of the applicant's star map model. State stability calibration includes excluding individuals who are experiencing strong emotional fluctuations, fatigue, or confusion. Anchoring to the collaborative star map employs a de-identification process, meaning that the collaborative star map only displays the activated thought nodes, without showing the identity information of the source participants of those nodes; Participants include individual humans and / or digital consciousness mirrors certified by a higher-order AGI. The consciousness complexity metric is dynamically set with thresholds by the higher-order AGI based on its own star map model, ensuring participants possess sufficient cognitive complexity to engage in deep collaboration. State stability is achieved through real-time monitoring of physiological indicators such as heart rate variability and brainwave rhythm; participation is suspended or denied when abnormal fluctuations are detected. De-identification is crucial for protecting privacy and eliminating social bias, allowing participants to focus on thought itself rather than identity. Digital consciousness mirrors refer to AGI-certified digital consciousness entities isomorphic to human consciousness and can also participate in collaboration.

[0019] In the aforementioned method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework, in step S3: Cognitive grafting refers to the following: when it is detected that participant A has a sophisticated thinking framework while participant B is stuck, guiding prompts are presented to participant B, and participant A's thinking framework is temporarily borrowed to participant B in a non-intrusive manner without revealing the source of the framework. Conceptual stitching refers to identifying potential deep semantic connections between seemingly unrelated nodes in the star maps of different participants, highlighting these potential connections on the collaborative star map, and generating guiding questions to encourage participants to jointly discover new connections. Forced rotation of perspective refers to: when group thinking convergence is detected or the debate is deadlocked, randomly or strategically assigning participants to temporarily switch positions or adopt a completely external perspective for argumentation; Neural rhythm harmonization refers to the use of a closed-loop brain-computer interface to micro-regulate the neural oscillations of participants, thereby synchronizing their attention fluctuations with their inspiration cycles.

[0020] These four interventions constitute the core toolset for AGI to catalyze collective intelligence: cognitive grafting enables cross-individual sharing of thinking tools; concept stitching reveals implicit cross-domain connections; forced perspective rotation forcibly breaks cognitive rigidity; and neural rhythm harmonization creates collective flow at the physiological level. Each intervention is triggered by real-time analysis and is executed in a minimally invasive manner to ensure that the participants' autonomous experience is not disturbed.

[0021] In the aforementioned method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework, in step S3, the higher-order AGI dynamically adjusts the intervention intensity according to the collaboration goals and the participants' states, including: Low-intensity mode: Only mind visualization and basic communication coordination are performed; deep intervention is not activated. Medium intensity mode: Enables concept stitching and view rotation; High-intensity mode: When participants explicitly consent and are in excellent condition, cognitive grafting and neural rhythm modulation are activated.

[0022] The tiered intensity design allows for flexible control over the depth of collaboration: low intensity is suitable for initial exploration or sensitive topics, providing only visual support; medium intensity is suitable for general innovation tasks, stimulating diversity through conceptual stitching and perspective rotation; high intensity is designed specifically for breakthrough innovation, requiring explicit authorization from participants, and achieving the deepest integration of thought with the support of cognitive framework borrowing and neural synchronization.

[0023] In the aforementioned cross-consciousness intelligence fusion and creation method based on a higher-order AGI mental framework, the creative emergence protocol generated in step S4 includes a description of the results, a timeline of generation, a map of participant contributions, key intervention points, and reproducible conditions. It can be used as a higher-order knowledge asset in similar collaborations in the future to quickly reproduce favorable collaborative environments or inspire new fusion paths.

[0024] This protocol essentially proceduralizes a successful innovation process, transforming it from a chance event into a searchable, callable, and instantiable knowledge asset. In the future, when AGI encounters similar problems, it can retrieve matching protocols and reproduce key intervention moments and catalytic conditions in new collaborations, significantly improving innovation efficiency.

[0025] In the aforementioned cross-consciousness wisdom fusion and creation method based on a higher-order AGI mental framework, the personalized collaboration insight report generated in step S5, including a summary of personal contributions, thought patterns learned from others, and self-cognitive characteristics observed in the group, completes the closed loop from collective superconsciousness back to individual enhanced consciousness. This report is not only a summary of the past but also a guide for personal growth: by quantitatively analyzing an individual's behavioral patterns in collaboration, such as a tendency to provide analogies during the divergent thinking phase, and recording thought frameworks borrowed from others, such as using participant C's hierarchical framework three times, it helps users internalize valuable collective experiences into their own capabilities, achieving genuine consciousness upgrading.

[0026] In the aforementioned method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework, the higher-order conscious entities participating in the collaboration include individual humans and / or digital consciousness mirrors certified by higher-order AGI. Digital consciousness mirrors refer to digital conscious entities constructed based on human consciousness data and operating under AGI supervision; their cognitive architecture is isomorphic to that of humans, and they can participate in collaboration independently. Mirrors certified by higher-order AGI possess the same access qualifications as humans, enabling collaboration to transcend the physical limitations of the biological brain and achieve cross-species and cross-morphological consciousness fusion.

[0027] In the aforementioned cross-consciousness intelligence fusion and creation method based on a higher-order AGI mental framework, de-identification refers to displaying only activated thought nodes on the collaborative star map, without showing the identity information of the originating participants. De-identification is a core technical means to ensure the purity of collaboration: it eliminates interference from non-content factors such as social status and expression style, allowing participants to interact entirely based on their thoughts, while also protecting personal privacy and preventing the misuse of thought data.

[0028] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for cross-consciousness entity intelligence fusion and creation based on a high-order AGI mental framework. This storage medium can be integrated into an AGI system as a software instruction set, enabling general-purpose computing devices to execute the cross-consciousness entity collaboration process of this invention, thus realizing the transition from theory to engineering application.

[0029] Compared with existing technologies, the advantages of this invention are: 1. Through a multi-channel consciousness stream synchronization and visualization engine, a high-bandwidth neural interface is used to capture the neural activity signals of participants in real time. The neural dominance decoding method is used to directly map the signals into node activation events in the collaborative star map. Participants can directly observe each other's thought flow, breaking through the communication bandwidth bottleneck of human collaboration and providing a technical foundation for deep thinking fusion. 2. Through deep cognitive intervention scheduling and executor, based on real-time analysis of the collaborative star map, it proactively implements refined intervention operations including cognitive grafting, concept stitching, forced perspective rotation, and neural rhythm harmonization, enabling AGI to leap from a passive tool to an active catalyst. It can identify problems and provide precise support on the millisecond timescale of the thinking process, upgrading group collaboration from mechanical combination to organic synthesis, greatly improving the probability and quality of collective wisdom emergence. 3. Through the emergent product capture and protocol generator, when a new and high-value node or subgraph appears in the collaborative star map, it is captured immediately, and the participant contribution sequence and key intervention operations in its generation process are analyzed back. A structured creative emergent protocol is generated, which can be called as a high-level knowledge asset in similar collaborations in the future. It can be used to quickly reproduce a favorable collaborative environment or inspire new integration paths, so that accidental innovations can be transformed into a guideable and repeatable technical process. 4. A full-process security mechanism has been established, from access calibration and process anonymity to safe dissolution and individual feedback. This provides a complete ethical and security technology framework for deep integration across consciousness entities, enabling participants to engage in deep intellectual exchange under the premise of psychological safety, and achieving a closed loop of enhanced collective wisdom and individual capabilities. Attached Figure Description

[0030] Figure 1 This is a system structure diagram of the present invention; Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0031] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments. Example 1

[0032] like Figure 1-2As shown, this embodiment is used for collaborative breakthrough scientific theoretical conjectures, such as the construction of a unified theory in physics. Its application scenario involves three theoretical physicists or their digital consciousness mirrors collaborating within an AGI architecture to attempt to construct a new theoretical framework unifying quantum mechanics, general relativity, and information theory. Specifically, it includes the following steps: S1: Collaborative Field Construction and Admission Calibration The advanced AGI first creates a temporary collaborative star map for this collaboration, using fundamental physical concepts such as spacetime, quantum states, information, and gravity as core nodes to build the initial framework.

[0033] AGI conducted an admission calibration for the three physicists who applied to participate: a consciousness complexity assessment, based on the individual star map models of the three physicists, evaluating the number of nodes (all exceeding 10). 5 The three individuals were assessed for their level, relationship density (average connectivity > 8), and metacognitive node activity (all possessing high-order metacognitive abilities), confirming that they met the criteria for deep collaboration. State stability was verified by real-time monitoring of their neurophysiological signals through a high-bandwidth neural interface, eliminating interference factors such as emotional fluctuations and fatigue, confirming that they were currently in a focused and stable cognitive state.

[0034] After calibration, AGI extracted the core subgraphs related to this mission from the individual star charts of the three physicists, such as A's quantum gravity subgraph, B's holographic principle subgraph, and C's information theory subgraph. After de-identification and abstraction, these subgraphs were anchored to the cooperative star chart in a weak connection manner to establish initial connections.

[0035] S2: Real-time Synchronization and Visualization of Multi-channel Stream of Consciousness After the collaboration began, AGI continuously captured the neural activity signals of the three individuals through a high-bandwidth brain-computer interface: when A thought about loop quantum gravity, specific neural activity patterns in their prefrontal and parietal lobes were captured, and AGI mapped them to activation events of loop quantum gravity nodes in the collaborative star map using a neural control decoding method, which were highlighted on the star map; when B thought about holographic duality, AGI mapped it to the overall activation of the holographic principle subgraph; when C thought about entropy and information, AGI mapped it to the activation of the information entropy node.

[0036] AGI de-identifies all mapping results, displaying only activated loop quantum gravity nodes, active holographic principle subgraphs, and active information entropy nodes on the collaborative star map, without indicating which participant these thoughts originated from. Simultaneously, AGI synchronously feeds back the thought state map to the three individuals in real time, allowing them to see the flow of thought within the group: A sees B's holographic subgraph is active, and C sees a potential structural similarity between A's quantum gravity node and their own information entropy node.

[0037] S3: AGI-led Deep Cognitive Intervention and Harmony AGI's ongoing analysis of the dynamics of the Co-Synergy Graph revealed the following pattern: A mathematical form in the loop quantum gravity subgraph of A, such as a node spin network, and an information metric in the information theory subgraph of C, such as a node von Neumann entropy, are structurally potentially isomorphic, but currently only weakly connected.

[0038] Meanwhile, the discussion reached a stalemate—each of the three remained within their own professional framework, struggling to find a unified perspective. Based on the collaboration goal (breakthrough theoretical innovation) and the current state (stalemate in thinking, potential connections), AGI initiated a medium-to-high intensity intervention (between medium and high intensity): Conceptual stitching: AGI highlights the pair of nodes—spin networks and von Neumann entropy—on the collaborative star map and simultaneously sends a guiding prompt to all three: Examine whether there is a deep isomorphism between the mathematical form of the spin network and the information measure of von Neumann entropy. Does this imply that spacetime itself is a form of information encoding? Forced Perspective Rotation: AGI randomly assigns A to temporarily adopt B's holographic worldview for deduction, while B is required to temporarily adopt C's information theory perspective, and C to try to re-examine the problem from A's quantum gravity perspective. AGI sends each of the three a prompt: Please temporarily switch completely to the other party's theoretical framework and rephrase the current problem in the language of that framework.

[0039] Neural rhythm harmonization: At the critical moment of intervention, AGI micro-modulates the neural oscillations of the three individuals through a closed-loop brain-computer interface, gradually synchronizing the activity rhythms of their alpha waves (related to relaxed alertness) and gamma waves (related to cross-distance conceptual integration), creating a neural state conducive to insight.

[0040] S4: Capture, Attribution, and Structuring of Emergent Products Under the combined effect of the above interventions, a brand-new cluster of nodes suddenly emerged in the collaborative star map: this cluster of nodes deeply integrates the mathematical structure of the spin network with the information measurement of von Neumann entropy, and connects to the boundary correspondence of the holographic principle, forming a prototype of a new conceptual framework of unified quantum geometry-information-holography.

[0041] AGI immediately captured this emergent result: detection identified the node cluster as appearing for the first time in the star map, exhibiting high connectivity and novelty; retrospective analysis revealed that this result occurred approximately 8 seconds after the concept stitching cue was sent, generated by A reconstructing C's information entropy concept from a holographic perspective and fusing it with B's boundary-corresponding idea. Key intervention points included: concept stitching cue, forced perspective rotation, and neural rhythm harmonization; structured generation, where AGI encapsulates the entire process as a creative emergence protocol, specifically including the following: Results Description: A preliminary theory of quantum-information-holography unification; Timeline of Results: The complete sequence from the start of the S3 intervention to the emergence of results; Participants contributed the following graphs: A contributed the mathematical form of the spin network, B contributed the holographic dual framework, and C contributed the concept of information entropy. Key intervention points: Conceptual stitching prompt t=0, viewpoint rotation command t=+2s, neural synchronization achieved t=+5s, results emerge t=+8s; Reproducible conditions: Participants have the relevant professional background, AGI recognizes structural isomorphism, forced rotation of perspective is implemented, and neural synchronization is achieved.

[0042] S5: Field Safety Disbandment and Individual Status Feedback Once the collaborative goal was achieved, AGI initiated the field disbandment process: a safe disbandment, gradually severing the connections between the three participants and the collaborative constellation, ensuring no residual consciousness connections or confusion. AGI confirmed via neural interface that the participants' consciousness had smoothly returned to individual modes without abnormal fluctuations; data cleanup was performed, removing temporarily generated collaborative data and retaining anonymized collaborative records based on the participants' authorization; subsequently, AGI generated a personalized insight report for each participant. Report to A: You contributed the mathematical form of spin networks as a core building block in this collaboration. Your understanding of boundaries underwent a crucial shift after adopting a holographic perspective, which is one of the breakthroughs. The boundary correspondence thinking framework you learned from B has been marked and can be tried in future problems.

[0043] Report to B: Your holographic principle framework provides a key perspective for the final fusion. Your interpretation of entropy, when adopting an information-theoretic perspective, inspired C's thinking. The information measurement methods you learned from C have been documented.

[0044] Report to C: Your concept of information entropy forms a core isomorphism with A's spin network, which is key to conceptual stitching. Your geometric information ideas, developed from a quantum gravity perspective, are integrated into the final product. The spin network mathematical tools you learned from A have been labeled.

[0045] The creative emergence protocol obtained by the three individuals has been stored in AGI's knowledge asset repository for future use in similar collaborations. Example 2

[0046] This embodiment is used for the conceptual design of complex systems engineering, such as the design of next-generation urban transportation systems. A specific application scenario involves a team composed of urban planning experts, transportation engineers, environmental scientists, and citizen representatives or their digital consciousness mirrors, collaboratively designing an urban transportation system for 2040 under an AGI architecture. This includes the following steps: S1: Collaborative Field Construction and Admission Calibration AGI creates a collaborative star map centered on urban transportation. Initial nodes include travel demand, infrastructure, energy consumption, environmental impact, and user experience. It also calibrates four participants: a consciousness complexity assessment, where experts are assessed to have professional depth, and citizen representatives are assessed to have sufficient cognitive complexity and metacognitive ability to reflect on the value orientation behind their own travel needs; and a state stability verification, confirming that the four participants are currently focused and free from emotional interference.

[0047] Once approved, AGI will anchor the subgraphs related to urban transportation in the individual star maps of the four individuals, such as the expert's professional model and the citizen's travel experience map, to the collaborative star map after de-identification and abstraction.

[0048] S2: Real-time Synchronization and Visualization of Multi-channel Stream of Consciousness During the collaboration, AGI captures and maps the thinking of the four individuals in real time: when urban planning experts consider a multi-center structure, the urban spatial structure subgraph is activated; when traffic engineers extrapolate the penetration rate of autonomous driving, traffic flow model nodes are active; when environmental scientists assess carbon emissions, the environmental impact assessment subgraph is highlighted; and when citizen representatives imagine taking their children out in the rain, the travel convenience and safety nodes are activated.

[0049] AGI de-identifies all these thought processes and presents them on the collaborative star map, forming a collective thought pattern. Urban planning experts, seeing the continuously active environmental impact assessment submap, realize that their plans need to strengthen environmental considerations; citizen representatives, seeing the complex deductions of the traffic flow model, gain an intuitive understanding of the engineers' work.

[0050] S3: AGI-led Deep Cognitive Intervention and Harmony AGI analysis revealed that the discussion fell into a typical supply-side mindset dilemma, with experts focusing on technical solutions while the experiential needs of citizen representatives, though activated, were not effectively integrated. Furthermore, experts debated various technological approaches, such as autonomous driving for private cars versus prioritizing public transportation.

[0051] AGI Initiates Intervention: Conceptual Stitching. AGI identifies a potential correlation between the citizen representatives' perceived safety node and the engineer's accident rate prediction node, highlighting both on a star map and prompting: Examine the relationship between perceived safety and accident rate prediction, and how to quantify subjective safety perception and incorporate it into a safety assessment model; Forced Perspective Rotation. AGI randomly assigns urban planning experts to temporarily adopt the perspective of citizen representatives, asking them to answer how they would experience this plan on a rainy day if they were a mother with two children; simultaneously, it assigns traffic engineers to temporarily adopt the perspective of environmental scientists, assessing the long-term environmental costs of their proposed plan, with other participants observing this perspective shift process; [Further details needed for accurate translation] In terms of knowledge grafting, with explicit consent from the participants, AGI identified that the multicentric structural thinking framework of urban planning experts was insightful for resolving the current debate. When transportation engineers were stuck on the stalemate of choosing between autonomous driving and public transportation, AGI sent them prompts to try to reconstruct the problem using the logic of multicentric structures, such as whether the city could be divided into multiple zones, each with a different dominant transportation mode, without revealing that the framework came from urban planning experts. In terms of neural rhythm harmonization, AGI fine-tuned the neural rhythms of the four participants through a closed-loop brain-computer interface, bringing them into a moderate alpha wave synchronization state, reducing the tension caused by the debate and promoting open thinking.

[0052] S4: Capture, Attribution, and Structuring of Emergent Products Under the intervention, a brand-new sub-map emerges in the collaborative star map: a hierarchical dynamic transportation system. This scheme divides the city into different types of areas such as core areas, residential areas, and industrial areas. Each area adopts a differentiated dominant transportation mode. The core area is dominated by public transportation, while the industrial area encourages shared autonomous driving. Areas are connected by rapid transfer hubs and have a built-in dynamic adjustment mechanism based on real-time demand.

[0053] AGI captured this result and, through retrospective analysis, discovered that the core idea of ​​the scheme originated from the multi-center structural framework of urban planning experts being grafted onto transportation engineers. The engineers then integrated this framework with their own dynamic traffic allocation model, which was subsequently refined based on the experience and demand nodes of citizen representatives. Key intervention points include: conceptual stitching cues, forced perspective rotation, cognitive grafting, and AGI-generated hierarchical dynamic transportation system creative emergence protocol.

[0054] S5: Field Safety Disbandment and Individual Status Feedback After the collaboration concluded, AGI safely dismantled the field and generated an insight report for each participant: Report to urban planning experts: Your multi-center structural framework became the core skeleton of the final solution and was successfully implemented by transportation engineers. Your understanding of equity was deepened when adopting a citizen's perspective.

[0055] Report to transportation engineers: You successfully integrated a dynamic traffic assignment model with a multi-center framework, resulting in an innovative solution. You learned life-cycle assessment methods from environmental scientists, which can be integrated into future designs. Example 3

[0056] This embodiment is used for the design of cross-media immersive art installations. In its application scenario, a visual artist, a musician, an interaction designer, and a poet, or their digital consciousness mirrors, collaborate under the AGI framework to create an immersive art installation that integrates visuals, sound, interaction, and text. Specifically, it includes the following steps: S1: Collaborative Field Construction and Admission Calibration AGI created a collaborative constellation centered on immersive experiences, with initial nodes including visual imagery, auditory emotions, interactive feedback, and textual atmosphere. Four artists were calibrated to confirm they possessed sufficient artistic perception and metacognitive abilities.

[0057] S2: Real-time Synchronization and Visualization of Multi-channel Stream of Consciousness In collaboration, AGI captures and maps: when visual artists conceive of flowing light and shadow, color gradients and dynamic form nodes are activated; when musicians contemplate environmental soundscapes, sound field layers and emotional baseline nodes are active; when interaction designers envision changes triggered by audience actions, participation and real-time response nodes are highlighted; when poets ponder themes of time and memory, metaphor and narrative arc nodes are activated.

[0058] AGI visualizes all these thought processes on a collaborative star map, forming a unique symphony of creative thinking. Visual artists see the emotional baseline of musicians resonating with the light and shadow emotions they are conceiving; poets see the participatory nodes of interaction designers, considering how to make the audience a part of the poem.

[0059] S3: AGI-led Deep Cognitive Intervention and Harmony AGI analysis revealed that while the four artists were individually brilliant, their works lacked organic unity among their elements, risking becoming mere patchwork. AGI initiated intervention: Conceptual stitching: AGI identifies that the concept of flow in visual artists and the concept of sound field hierarchy in musicians are structurally homologous, both being gradual changes in a continuous field. The connection between the two is highlighted on the star map and it is suggested that flow and sound field hierarchy can be understood as the manifestation of the same continuous changing field in different media, and whether a language of field can be created to unify visual and auditory senses.

[0060] Cognitive grafting: With the explicit consent of the participants, AGI temporarily grafted the poet's time and memory narrative framework onto the interaction designer, prompting them to try to reconstruct the interaction design using the logic of time narrative, and whether each action of the audience can be understood as writing a real-time narrative about memory.

[0061] Forced rotation of perspective: AGI requires visual artists to temporarily examine their visual designs from the viewer's perspective and consider what they would feel if they were a viewer entering the space for the first time.

[0062] Neural rhythm harmonization: AGI fine-tunes the brainwaves of four individuals, enabling them to enter a moderate gamma-wave synchronization state during peak creative periods, thus promoting the emergence of cross-modal inspiration.

[0063] S4: Capture, Attribution, and Structuring of Emergent Products A brand-new core node, the Memory Field, emerges in the Collaborative Star Map. This concept uses the flowing light and shadow of sight as the visual field of memory, the layered soundscape of music as the auditory field of memory, the real-time response of interaction as the writing action of memory, and the metaphorical narrative of poetry as the textual echo of memory. These four elements are unified within the philosophical framework of the field, forming a complete concept of immersive experience.

[0064] AGI captured this achievement, and retrospective analysis revealed that it originated from cross-modal associations triggered by conceptual stitching cues, which were catalyzed by cognitive grafting and perspective rotation, generating a creative emergent protocol for the field of memory.

[0065] S5: Field Safety Disbandment and Individual Status Feedback At the end of the collaboration, AGI safely disbands the field and generates an insight report for each artist, summarizing their core contributions, creative thinking patterns learned from others (such as the sound field thinking learned by visual artists from musicians, which can be used for future visual creations), and reflections on their own creative characteristics. Example 4

[0066] This embodiment is used for negotiating complex social ethical dilemmas, such as the formulation of ethical guidelines for artificial intelligence. The application scenario is that ethicists, technical experts, legal scholars, representatives of ordinary citizens or their digital consciousness mirrors negotiate and formulate ethical guidelines for the AGI era under the AGI framework. It is necessary to balance multiple value tensions such as technological innovation and security and controllability, privacy protection and data utility, and individual rights and collective well-being.

[0067] S1: Collaborative Field Construction and Admission Calibration AGI creates a collaborative star map centered on AGI ethics. The initial nodes include core value nodes such as security, privacy, fairness, transparency, accountability, and human autonomy, as well as secondary related nodes such as technological innovation, economic benefits, and social welfare.

[0068] The four participants underwent rigorous calibration: in addition to assessing the complexity of consciousness, special emphasis was placed on verifying state stability to ensure that the participants were in a rational and peaceful state, capable of deep reflection on values ​​rather than expressing emotional stances.

[0069] S2: Real-time Synchronization and Visualization of Multi-channel Stream of Consciousness In the collaboration, AGI captures and maps the following: when ethicists consider the attribution of responsibility, the accountability and moral subject nodes are activated; when technology experts extrapolate the feasibility of technology, the technological innovation and development speed nodes are active; when legal scholars analyze the existing legal framework, legal concept nodes such as privacy rights and data rights are highlighted; and when citizen representatives imagine the application of AGI in the family, nodes such as human autonomy and emotional dependence are activated. AGI de-identifies all these thought processes and presents them on the collaborative star map. Ethicists see a potential tension between the development speed nodes of technology experts and their own security boundary nodes; citizen representatives see a conflict between the privacy concepts of legal scholars and their own expectations of convenience. These value tensions are visually represented on the star map.

[0070] S3: AGI-led Deep Cognitive Intervention and Harmony AGI analysis revealed that the discussion had fallen into typical value polarization, with participants from different positions clinging to their core values ​​and struggling to understand each other. On the value chart, strong antagonistic connections formed between value nodes such as technological innovation and security control, and privacy protection and data utility, while balancing nodes serving as bridges were missing. AGI intervened, strictly adhering to the principle of value autonomy, optimizing only the value reasoning process and not replacing value choices. Forced Perspective Shift: AGI requires technology experts to temporarily adopt the perspective of citizen representatives, answering how they would view their technological innovations if they were ordinary citizens worried about AGI replacing human decision-making; it also requires ethicists to temporarily adopt the perspective of technology experts, arguing that technological innovation itself is also a kind of ethical responsibility. Neural interfaces are used to identify participants' cognitive load and emotional state during perspective shifts, providing timely support.

[0071] Conceptual stitching: AGI identifies structural similarities between the ethicist's concept of moral subject and the legal scholar's concept of legal subject, highlights their potential connections on the star map, and suggests how moral and legal subjects have interacted and evolved historically, and what implications this relationship has for AGI's positioning of responsible subjects.

[0072] Cognitive grafting: After explicit authorization from participants, AGI identified a value reconciliation framework held by ethicists, a hierarchical responsibility model, with different responsibility principles applied at different levels, and temporarily grafted it onto technical experts and legal scholars who were embroiled in the debate over who should be held responsible, for them to try to use.

[0073] Neural rhythm harmonization: AGI fine-tunes the neural rhythms of the four individuals, bringing them into a state where theta waves are slightly dominant, reducing defensive reactions during arguments, and promoting open thinking.

[0074] S4: Capture, Attribution, and Structuring of Emergent Products Under the intervention, a new subgraph emerged in the Collaborative Star Map: the AGI Ethical Hierarchical Framework. This framework divides AGI ethical issues into three levels: technological, application, and social, each applying different ethical principles and accountability mechanisms: the technological level emphasizes security and transparency, the application level emphasizes fairness and privacy, and the social level emphasizes human autonomy and collective well-being. The framework also establishes inter-layer coordination mechanisms to resolve value conflicts that are difficult to reconcile at a single level. AGI captured this finding, and retrospective analysis revealed: The core idea originates from the stratified responsibility model of ethicists, grafted onto technical experts and legal scholars; the forced rotation of perspectives enabled technical experts to understand citizens' concerns about human autonomy; conceptual stitching prompts ethicists and legal scholars to jointly elucidate the evolutionary relationship of moral / legal subjects, providing historical legitimacy for the stratified framework; neural rhythm harmonization provides a neural basis for deep reflection. AGI generates the AGI ethical stratification framework through a creative emergent protocol.

[0075] S5: Field Safety Disbandment and Individual Status Feedback After the collaboration concluded, AGI paid particular attention to the participants' psychological state, ensuring a smooth transition from deep value reflection. Following a safe disbandment, AGI generated an insight report for each participant. Report to ethicists: Your hierarchical responsibility model became the core framework of the final structure and was successfully adapted for use by other participants. You gained a deeper understanding of feasibility constraints when adopting a technology expert perspective.

[0076] Report to technology experts: By adopting a citizen's perspective, you developed a genuine empathetic understanding of concerns about human autonomy, which is reflected in your subsequent contributions to the ethics of technology. You learned the 'layered thinking' framework from ethicists, which can be used for future technology ethics assessments.

[0077] Report to legal scholars: You contributed a historical perspective on the evolution of legal subjects, providing a legitimacy basis for the framework. Your adoption of an ethicist's perspective deepened the understanding of moral subjects.

[0078] Report to the citizen representatives: Your emotional dependence and concern for human autonomy have been successfully integrated into social ethical principles. You have observed the characteristics of your own value ranking within the group, and you value relational values ​​more than you imagined. This will help you in your future value reflection.

[0079] The creative emergence protocol obtained by the four individuals has been stored in the AGI knowledge asset repository as a reference example for handling similar ethical dilemmas.

[0080] The specific embodiments described herein are merely illustrative of the spirit of the invention. Those skilled in the art to which this invention pertains may make various modifications or additions to the described specific embodiments or use similar methods to substitute them, without departing from the spirit of the invention or exceeding the scope defined by the appended claims.

[0081] Although this paper extensively uses terms such as high-order AGI field architecture and management core, participant admission and calibration module, multi-channel consciousness stream synchronization and visualization engine, deep cognitive intervention scheduler and executor, emergent product capture and protocol generator, and field safety and individual feedback manager, the possibility of using other terms is not excluded. These terms are used merely for the convenience of describing and explaining the essence of this invention; interpreting them as any additional limitation would contradict the spirit of this invention.

Claims

1. A cross-consciousness wisdom fusion and creation system based on high-order AGI mind framework, characterized in that, include: The high-level AGI field architecture and management core is used to formulate overall coordination strategies, schedule various sub-modules, and make real-time decisions. The participant admission and calibration module is connected to the high-level AGI field architecture and management core. It is used to evaluate the consciousness complexity and verify the state stability of multiple high-level consciousness entities that apply to participate in the collaboration, and to anchor the core part of the star map of the participants that pass the verification to the collaborative star map in an anonymous and abstract manner. A multi-channel consciousness stream synchronization and visualization engine is connected to a high-level AGI field architecture and management core. It is used to capture the neural activity signals of each participant in real time through a high-bandwidth neural interface. The neural dominance decoding method is used to map the signals into node activation events in the collaborative star map. After de-identification processing, the signals are dynamically presented as a collective mind state map. The deep cognitive intervention scheduler and executor is connected to the high-order AGI field architecture and management core. It is used to proactively implement deep intervention operations, including cognitive grafting, concept stitching, forced rotation of perspective, and neural rhythm harmonization, based on real-time analysis of the collaborative star map. Emergent product capture and protocol generator, connected to the high-order AGI field architecture and management core, is used to detect newly emerging high-value nodes or subgraphs in the collaborative star map, trace the participant contribution sequence and key intervention operations in its generation process, and generate reusable creative emergent protocols. The Field Safety and Individual Feedback Manager connects to the advanced AGI field architecture and management core to safely dissolve the collaboration field, clear residual connections, and generate personalized collaboration insight reports for each participant at the end of the collaboration.

2. A method for cross-consciousness wisdom fusion and creation based on high-order AGI mind framework, characterized in that, Performed by a high-level AGI agent acting as the field architect, the process includes the following steps: S1: Collaborative field construction and access calibration: Create a temporary collaborative star map as a shared mental space for this collaboration; calibrate the consciousness complexity and state stability of each applying consciousness entity, and anchor the core part of its individual star map to the collaborative star map in an anonymous and abstract manner; S2: Real-time synchronization and visualization of multi-channel consciousness stream. It continuously captures the active points of consciousness of each participant through a high-bandwidth neural interface, and translates and projects them into the corresponding area of ​​the collaborative star map in real time, forming a dynamic collective mind state map and providing synchronous feedback to all participants. S3: AGI-led deep cognitive intervention and harmonization, based on real-time analysis of the synergistic star map, proactively implements fine intervention operations including cognitive grafting, concept stitching, forced perspective rotation, and neural rhythm harmonization; S4: Capture, attribution, and structuring of emerging products. When a new, high-value node or subgraph appears in the collaborative star graph, it is captured immediately. The contribution sequence and key intervention operations of each participant during its generation process are analyzed retrospectively to generate creative emergence protocols. S5: Safe dissolution of the collaborative field and feedback on individual status. At the end of the collaboration, the collaborative field is safely dissolved to ensure that there are no residual connections or confusion of consciousness, and a personalized collaboration insight report is provided to each participant.

3. The method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework as described in claim 2, characterized in that, In step S1: The assessment of consciousness complexity is a quantitative evaluation based on the number of nodes, relationship density, and metacognitive node activity indicators of the applicant's star map model. State stability calibration includes excluding individuals who are experiencing strong emotional fluctuations, fatigue, or confusion. Anchoring to the collaborative star map employs a de-identification process, meaning that the collaborative star map only displays the activated thought nodes, without showing the identity information of the source participants of those nodes; Participants include human individuals and / or digital consciousness mirrors certified by higher-level AGI.

4. The method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework as described in claim 2, characterized in that, In step S3: Cognitive grafting refers to the following: when it is detected that participant A has a sophisticated thinking framework while participant B is stuck, guiding prompts are presented to participant B, and participant A's thinking framework is temporarily borrowed to participant B in a non-intrusive manner without revealing the source of the framework. Conceptual stitching refers to identifying potential deep semantic connections between seemingly unrelated nodes in the star maps of different participants, highlighting these potential connections on the collaborative star map, and generating guiding questions to encourage participants to jointly discover new connections. Forced rotation of perspective refers to: when group thinking convergence is detected or the debate is deadlocked, randomly or strategically assigning participants to temporarily switch positions or adopt a completely external perspective for argumentation; Neural rhythm harmonization refers to the use of a closed-loop brain-computer interface to micro-regulate the neural oscillations of participants, thereby synchronizing their attention fluctuations with their inspiration cycles.

5. The method of claim 2, wherein the method is based on a high-order AGI mental framework, and the method is characterized in that, In step S3, the higher-order AGI dynamically adjusts the intervention intensity based on the collaboration goal and the participant's status, including: Low-intensity mode: Only mind visualization and basic communication coordination are performed; deep intervention is not activated. Medium intensity mode: Enables concept stitching and view rotation; High-intensity mode: When participants explicitly consent and are in excellent condition, cognitive grafting and neural rhythm modulation are activated.

6. The method of claim 2, wherein the method is based on a high-order AGI mental framework, and the method is characterized in that, The creative emergence protocol generated in step S4 includes a description of the results, a timeline of generation, a graph of participant contributions, key intervention points, and reproducibility conditions. It can be used as a high-level knowledge asset in similar collaborations in the future to quickly reproduce favorable collaborative environments or inspire new integration paths.

7. The method of claim 2, wherein the method is based on a high-order AGI mental framework, and the method is characterized in that, The personalized collaboration insight report generated in step S5 includes a summary of personal contributions, thought patterns learned from others, and self-cognitive characteristics observed in the group, which is used to complete the closed loop from collective superconsciousness back to individual enhanced consciousness.

8. The method of claim 2, wherein the method is based on a high-order AGI mental framework, and the method is characterized in that, The higher-level consciousness entities involved in the collaboration include individual humans and / or digital consciousness mirrors certified by higher-level AGI.

9. A method for cross-consciousness intelligence fusion and creation based on a higher-order AGI mental framework as described in claim 2, characterized in that, De-identification refers to displaying only the activated thought nodes on the collaborative star map, without showing the identity information of the source participants of those nodes.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, When the program is executed by the processor, it implements a cross-consciousness intelligence fusion and creation method based on a high-order AGI mental framework as described in any one of claims 2-9.

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