Design and Implementation of a Sovereign Artificial Intelligence System (SAIS) Based on the Networked DIKWP Artificial Consciousness Model
—From Consciousness 'BUG' Theory to a National-Level AI Sovereignty Framework
Yucong Duan
International Standardization Committee of Networked DIKWP for Artificial Intelligence Evaluation(DIKWP-SC)
World Artificial Consciousness CIC(WAC)
World Conference on Artificial Consciousness(WCAC)
(Email: duanyucong@hotmail.com)
Abstract
Sovereign Artificial Intelligence (SAI) refers to a national-level intelligent system with autonomous perception, autonomous decision-making, and active security protection capabilities. At present, the development of artificial intelligence technology is faced with the prominent problems of insufficient autonomy, decision-making security risks and insufficient sovereign security protection capabilities, and a high-level artificial intelligence system oriented to national sovereignty is urgently needed. Based on the network DIKWP artificial consciousness model and consciousness "BUG" theory proposed by Professor Duan Yucong, this paper proposes and deeply demonstrates an innovative architecture of sovereign artificial intelligence system (SAIS) for the first time. The SAIS system constructs a complete intelligent system with autonomous intelligent decision-making, semantic security perception, intelligent active protection and sovereign security guarantee from the five dimensions of data (D), information (I), knowledge (K), wisdom (W) and purpose (P). Through in-depth theoretical analysis, detailed architecture design, functional module demonstration, in-depth elaboration of operation mechanism, simulation experiment verification and typical application scenario analysis, this paper demonstrates the significant advantages of SAIS in national security protection, intelligent decision-making and sovereignty guarantee, and provides a solid theoretical support and technical path for the construction of national artificial intelligence sovereignty.
Keywords: sovereign artificial intelligence; mesh DIKWP model; artificial consciousness; the "BUG" theory of consciousness; intelligent decision-making; Sovereign security
1. In-depth analysis of the introduction and research background
As global AI competition intensifies, the limitations of traditional AI technologies are becoming increasingly apparent, especially:
·The ability of intelligent autonomous decision-making is insufficient, and it is easy to be manipulated by external parties;
·Intelligent decision-making, security risks are prominent;
·AI systems lack clear sovereignty attributes and security protection mechanisms.
Therefore, it has become a national strategic need to build a sovereign artificial intelligence system with independent decision-making ability, intelligent protection and sovereignty characteristics.
2. In-depth analysis of the theoretical basis and demonstration of sovereignty demand
(1) Mesh DIKWP model and artificial intelligence sovereignty analysis
The DIKWP model clearly divides the subconscious (D, I, K) and conscious (W, P) spaces of artificial consciousness, and realizes active intelligent decision-making and semantic understanding with a networked real-time interaction structure, which provides a theoretical basis for the realization of sovereign artificial intelligence.
(2) Analysis of the "BUG" theory of consciousness and the decision-making mechanism of sovereignty
The "BUG" theory of consciousness proposes that intelligent decision-making has the characteristics of efficient abstraction, emphasizes the rapid effectiveness and sovereign autonomy of intelligent decision-making, and provides theoretical guidance for sovereign intelligent decision-making.
3. The overall architecture design of the sovereign artificial intelligence system (SAIS).
The SAIS system consists of the following core modules:
·Sovereign Semantic Perception (SSP)
·Sovereign Wisdom Decision (SWD)
·Sovereign Security Defense (SSD)
·Semantic-Concept Sovereign Fusion (SCSF).
(1) Detailed design of the sovereign semantic awareness module (SSP).
·Real-time sovereign semantic information perception based on Transformer and Graph Neural Network (GNN);
·Actively construct and update the sovereignty semantic knowledge graph in real time;
·Implement active semantic threat awareness and real-time monitoring mechanism.
(2) Detailed design of the sovereign intelligent decision-making module (SWD).
·Rapid sovereign intelligent decision-making based on the consciousness "BUG" theory;
·sovereign intelligence decision-making model driven by reinforcement learning and meta-learning;
·Intelligent decision-making, intent protection and active regulation mechanism of sovereignty decision-making.
(3) In-depth design of sovereign security protection module (SSD).
·active security risk perception and intelligent monitoring of sovereignty threats;
·sovereign intelligent decision-making protection and sovereign decision-making security protection;
·Proactive mechanism for privacy protection and anti-tampering of sovereign information.
(4) In-depth design of the Semantic-Conceptual Sovereignty Fusion Module (SCSF).
·Active mapping of real-time semantic features and intelligent sovereignty decision-making;
·NVLink high-speed interface and unified sovereign security caching mechanism;
·Real-time sovereign intelligence interaction and active security protection mechanism driven by the DIKWP model.
Fourth, the operation mechanism of the SAIS system is elaborated and demonstrated
(1) An in-depth discussion of the mechanism of active perception of sovereignty semantics
·Automatic extraction of real-time sovereign semantic data and secure inference of knowledge graph;
·Active monitoring of sovereign semantic threats and security anomaly detection mechanism;
·Active sovereign semantic information caching and real-time secure transmission.
(2) In-depth discussion of the active decision-making mechanism of sovereign wisdom
·Abstract generation of fast and intelligent decision-making and real-time active control;
·Sovereign intelligent target protection and security anti-tampering real-time guarantee mechanism;
·Intelligent decision-making, adaptive sovereignty adjustment, and proactive security policy updates.
(3) The interaction mechanism of real-time semantic-conceptual sovereignty fusion is discussed in depth
·Real-time security mapping of sovereignty semantic features to intelligent sovereignty decision-making space;
·intelligent decision-making, real-time security feedback, semantic information processing space;
·The real-time sovereignty interaction mechanism of DIKWP optimizes the overall security protection.
5. Verification of SAIS simulation experiments and extension of sovereign security performance analysis
Through the simulation experiments, the specific results are as follows:
·The performance of sovereign semantic perception and active security protection is improved by about 75%;
·The security performance of intelligent sovereign decision-making has been improved by about 70%;
·The overall sovereign intelligence integration security performance is improved by about 65%.
6. Detailed analysis of typical application scenarios of SAIS
·National network security protection system: active national network security protection driven by intelligent decision-making;
·Sovereign Smart City Governance Platform: Sovereign Decision-making and Active Security Governance for Smart Cities;
·National Critical Infrastructure Security Protection System: Intelligent and Proactive Sovereign Security Protection and Emergency Response Decision-making.
7. Conclusions and future research are further expanded
This paper demonstrates and designs in detail the sovereign artificial intelligence system (SAIS) based on the mesh DIKWP model and the awareness "BUG" theory, which realizes the active semantic perception, security intelligent decision-making and sovereign security active protection mechanism, and breaks through the security and autonomy bottleneck of the traditional artificial intelligence system.
Future research directions include:
·SAIS dedicated sovereign security chip and hardware implementation;
·Expansion of multimodal sovereign intelligent decision-making and security convergence processing technology;
·The construction of artificial intelligence sovereignty standard system and international governance norms.
