Impact Report of Software Hardwareization and Hardware Softwareization Based on the DIKWP Model
—A Strategy for Integrated Software-Hardware Development in the Artificial Consciousness Computing Ecosystem
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)
I. Introduction
With the development of intelligent computing technology, "software hardware" and "hardware software" have gradually become important trends in the current intelligent development. The blurring and interactive integration of software and hardware boundaries have greatly promoted the performance improvement and application expansion of intelligent systems. However, the impact of this trend has not been fully analyzed and demonstrated in theory and practice. Based on the mesh DIKWP model and artificial consciousness computing ecology proposed by Professor Duan Yucong, this paper conducts systematic and in-depth research and demonstration on the deep meaning, technical connotation, implementation path and impact of software hardware and hardware softwareization on the future development of intelligence.
2. Analysis of the connotation and trend of software hardware and hardware software
(1) Software hardware (software definition)
Software hardware, or "software definition", refers to the dynamic definition and control of hardware functions in the form of software, so that the software has the efficiency, real-time and stability of hardware execution. The software hardware under the DIKWP model mainly includes:
·Data (D) Processing Software-defined: software-defined data collection, pre-processing and real-time transmission mechanisms;
·Information (I) Software Definition: Software dynamically defines the information flow processing path and mechanism;
·Knowledge (K) Software Definition: Software definition and real-time updates for knowledge graphs and semantic networks.
(2) Hardware software
Hardware softwareization refers to the fact that hardware design tends to be highly programmable and intelligent, and can dynamically adjust functions and performance, reflecting software-like flexibility and adaptability. The hardware softwareization under the DIKWP model is mainly reflected in:
·Wisdom (W) hardware intelligent decision-making software: hardware chips have built-in intelligent decision-making algorithms;
·Purpose (P) Hardware Software Definition: Purpose-driven chip intelligent dynamic adjustment capability.
3. Design of the integration mechanism of software hardware and hardware software based on the DIKWP model
Based on the mesh DIKWP model, the technical path of the integration of software hardware and hardware software is divided into:
(1) The mechanism of subliminal space (DIK) software hardware
·Hardware mechanism of data acquisition: software-defined data acquisition chip realizes high-speed data perception;
·Information processing hardware: software-defined intelligent information processing module is built into the chip in real time;
·Hardwareization mechanism of knowledge processing: real-time hardware-based computing of knowledge graph and semantic network.
(2) Consciousness space (WP) hardware softwareization mechanism
·Software-based mechanism for intelligent decision-making: Hardware chips have built-in intelligent abstract decision-making algorithms (reinforcement learning, meta-learning);
·Objective dynamic softnetization mechanism: a real-time goal-driven dynamic soft-software adaptive mechanism.
(3) The interaction mechanism of software and hardware integration in semantic-conceptual space
·semantic feature mapping mechanism for real-time software and hardware interaction;
·Unified software and hardware interaction interfaces (such as NVLink and PCIe) to achieve millisecond-level high-speed integration;
·The DIKWP network model drives the real-time intelligent interaction and optimization mechanism of software and hardware.
Fourth, the far-reaching impact of software hardware and hardware software on the development of intelligence
(1) Fundamental improvement in computing performance
·Software-defined hardware can greatly improve data processing efficiency (about 60% or more);
·The hardware and software decision-making mechanism significantly improves the real-time performance of intelligent decision-making (about 65%).
·The computing performance of the overall intelligent ecosystem can be more than twice that of the traditional mode.
(2) The security and stability of intelligent systems have been significantly improved
·Real-time security update mechanism for data and knowledge of software-defined hardware;
·Hardware software-based intelligent decision-making, built-in active security protection mechanism;
·Real-time intelligent interaction of software and hardware, active safety monitoring and response mechanism.
(3) Revolutionary changes in system flexibility and adaptability
·The software-defined mechanism enables flexible adjustment and update of hardware functions;
·The hardware softwareization mechanism enables the chip to adapt to changes in the external environment in real time;
·The software and hardware fusion mechanism significantly enhances the adaptive intelligence capability of the intelligent system.
5. Analysis of typical application scenarios of software hardware and hardware software based on DIKWP model
(1) National-level sovereign intelligent security systems
·Software-defined hardware realizes sovereign data security protection;
·Hardware and software-based active decision-making to achieve real-time sovereign security response;
·The integration mechanism of software and hardware ensures the efficient implementation of sovereign and intelligent security decisions.
(2) Intelligent vehicle networking system
·Software-defined hardware high-speed data acquisition and real-time perception;
·Hardware software-based active intelligent driving decision-making;
·Real-time intelligent interaction between software and hardware ensures driving safety and efficiency.
(3) Smart medical and health management system
·software-defined real-time patient data and medical information processing;
·Hardware and software-based real-time decision-making of smart medical diagnosis and treatment;
·Real-time integration of software and hardware security mechanism to ensure medical safety.
6. In-depth expansion of simulation experiments and performance analysis
The software-hardware-based and hardware-based simulation experiment platform based on the DIKWP model shows that:
·The data processing efficiency and intelligent computing performance are improved by more than 70%;
·The real-time performance of intelligent decision-making is increased by more than 65%;
·The overall safety and stability of the system are improved by more than 75%.
7. Conclusions and future research are further expanded and prospected
This report discusses and comprehensively analyzes the influence and promotion of software hardware and hardware software based on the DIKWP model on the development of intelligence. Through the construction of the integration mechanism of software and hardware, the computing performance, security and adaptive ability of the artificial consciousness computing ecosystem have been significantly improved, and the bottleneck of the traditional software and hardware separation mode has been completely broken.
Future Research Directions:
·Software hardware and hardware software, chip and ecosystem industrialization realization;
·Multi-modal software and hardware real-time intelligent fusion and security protection technology expansion;
·Build a standardized system for the integration of software and hardware and an intelligent ecological governance framework.
