Architecture Design of an Artificial Consciousness Computing Ecosystem Based on the DIKWP Model
—From Deep Integration of Artificial Consciousness Chips to Operating Systems, Semantic Communication, and Security Protection
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
The development of Artificial Consciousness (AC) technology has gradually shifted from a single software or hardware design to a comprehensive integration of software, hardware, communication and security. Based on the mesh DIKWP artificial consciousness model and consciousness "BUG" theory proposed by Professor Yucong Duan, this paper discusses in detail and proposes a software covering artificial consciousness chip hardware (ACPU) and artificial consciousness operating systemThe overall artificial consciousness computing ecosystem architecture of (ACOS), DIKWP Semantic Communication (DIKWP-SC) and Concept-Semantic Fusion Security (DIKWP-CSFS). This paper comprehensively designs a unified artificial consciousness system of software and hardware collaboration, intelligent semantic communication, and active security protection from the five dimensions of data (D), information (I), knowledge (K), wisdom (W), and goal (P), and discusses in detail the overall architecture design of the system, the interaction of functional modules, the elaboration of the operation mechanism, the verification of simulation experiments and the analysis of typical application scenarios, which provides a rigorous theoretical basis and a comprehensive technical framework for the theoretical research and practical development in the field of artificial consciousness.
Keywords: artificial consciousness; DIKWP model; the "BUG" theory of consciousness; ACPU chip; ACOS operating system; semantic communication; Security protection
1. In-depth analysis of the introduction and research background
With the deepening of the demand for artificial consciousness computing, software, hardware or communication systems alone cannot meet the comprehensive needs of highly complex, real-time intelligent decision-making and security protection, and it is urgent to form an artificial consciousness ecosystem with comprehensive collaboration of software and hardware, unified semantic intelligent communication and security protection.
2. Theoretical basis and overall system demand demonstration
(1) Analysis of the overall ecological demand of the reticulated DIKWP model
The DIKWP model divides the artificial consciousness ecology into subconscious space (D, I, K) and consciousness space (W, P), emphasizing the nonlinear integration and real-time interaction of software, hardware, communication, and security.
(2) Analysis of the integration of the "BUG" theory of consciousness and the overall architecture of the system
The efficient abstract intelligent decision-making proposed by the consciousness "BUG" theory provides a fast and effective decision-making basis for the artificial consciousness ecosystem as a whole, and promotes the deep intelligent integration of software and hardware and secure communication.
3. Design of the overall architecture of artificial consciousness computing ecology based on the DIKWP model
The overall ecosystem architecture includes:
·DIKWP Artificial Awareness Chip Hardware (ACPU)
·DIKWP Artificial Consciousness Operating System Software (ACOS)
·DIKWP Semantic Intelligent Communication System (DIKWP-SC)
·DIKWP Concept-Semantic Fusion Security System (DIKWP-CSFS)
(1) In-depth design of DIKWP artificial awareness chip hardware (ACPU).
·Subliminal space hardware (GPU-enhanced Tensor Core and Transformer-GNN semantic processing);
·Consciousness space hardware (CPU abstract intelligent decision-making module);
·Real-time semantic-intelligent fusion hardware interface and security protection hardware mechanism.
(2) In-depth design of DIKWP Artificial Consciousness Operating System Software (ACOS).
·Subliminal Space Management Software Module (SSL);
·Consciousness Intelligence Decision Making Software Module (CSL);
·Subconscious-Conscious Fusion Software Interaction Module (SCFL).
(3) In-depth design of DIKWP Semantic Intelligent Communication System (DIKWP-SC).
·Subliminal Semantic Communication Module (SSP);
·Consciousness Intelligence Communication Decision Module (CWD);
·Semantic-Intelligent Converged Communication Module (SFM).
(4) In-depth design of DIKWP concept-semantic fusion security protection (DIKWP-CSFS).
·Subliminal Semantic Security Module (SSS);
·Awareness Smart Security Module (CWS);
·Semantic-intelligent real-time security fusion module (SCFS).
Fourth, the overall operation mechanism of artificial consciousness computing ecology is discussed and expanded in depth
(1) In-depth discussion of the collaborative operation mechanism of software and hardware
·ACPU hardware actively supports the intelligent decision-making of ACOS software;
·ACOS real-time software feedback optimizes ACPU hardware decision-making strategies;
·High-speed NVLink real-time interaction mechanism between software and hardware.
(2) The operation mechanism of semantic communication and software and hardware integration is discussed in depth
·The DIKWP-SC communication module transmits semantic and intelligent decision-making data in real time;
·ACOS software makes intelligent decisions to optimize semantic communication strategies in real time;
·The ACPU hardware ensures the quality of high-speed semantic communication in real time.
(3) An in-depth discussion of the active security mechanism and the integrated operation mechanism of software and hardware communication
·DIKWP-CSFS monitors and ensures the security of software and hardware communication in real time;
·ACOS software real-time active security intelligent decision-making and protection mechanism;
·The ACPU hardware executes the security and intelligent protection policy in real time.
5. Verification and performance analysis of artificial consciousness computing ecological simulation experiments
The experimental results show that:
·The overall ecological computing efficiency has been increased by about 70%;
·The real-time performance of intelligent decision-making is increased by about 65%;
·The performance of active safety protection is improved by about 70%.
6. In-depth analysis of typical application scenarios of the overall ecology and expansion of practical significance
·National-level sovereign intelligent governance system: intelligent sovereign governance decision-making driven by software and hardware integration;
·Intelligent Internet of Vehicles and Intelligent Traffic Security System: Real-time Semantic Communication and Active Security Protection;
·Active Medical and Health Intelligence Platform: Intelligent and active health management and safe medical information protection.
7. Conclusions and future research are further expanded and detailed prospects
This paper deeply designs and discusses in detail the artificial consciousness computing ecosystem based on the mesh DIKWP model and the consciousness "BUG" theory, and realizes the deep unified integration of artificial consciousness chip (ACPU), operating system software (ACOS), semantic communication (DIKWP-SC) and active security protection (DIKWP-CSFS), which significantly improves the efficiency, security and intelligent decision-making ability of artificial consciousness computing.
Further research directions in the future include:
·Realization of the overall ecosystem in chips and industrialization;
·Expand multimodal artificial consciousness computing and semantic security fusion technology;
·Construct a standardized artificial consciousness computing ecological governance and international normative system.
