Computer Architecture and Chip Design for DIKWP Artificial Consciousness
Resource type
Conference Paper
Authors/contributors
- Wu, Kunguang (Author)
- Duan, Yucong (Author)
- Chen, Liang (Author)
- Li, Yingbo (Author)
- Qi, Qi (Author)
Title
Computer Architecture and Chip Design for DIKWP Artificial Consciousness
Abstract
Artificial intelligence systems are associated with inherent risks, such as uncontrollability and lack of interpretability. To address these risks, we need to develop artificial intelligence systems that are interpretable, trustworthy, responsible, and thinking and behavior consistent, which we refer to as artificial consciousness (AC) systems. Consequently, we propose and define the concepts and implementation of a computer architecture, chips, runtime environment, and the DIKWP language. Furthermore, we have overcome the limitations of traditional programming languages, computer architectures, and software-hardware implementations when creating AC systems. Our proposed software and hardware integration platform will make it easier to build and operate AC software systems based on DIKWP theories.
Date
2023-12-17
Proceedings Title
2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Conference Name
2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Place
Melbourne, Australia
Publisher
IEEE
Pages
1083-1090
ISBN
9798350330014
Accessed
3/7/25, 7:09 AM
Library Catalog
DOI.org (Crossref)
Citation
Wu, K., Duan, Y., Chen, L., Li, Y., & Qi, Q. (2023). Computer Architecture and Chip Design for DIKWP Artificial Consciousness. 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 1083–1090. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00155
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