Resources management and execution mechanisms for thinking operating system
Abstract
To achieve interpretable machine intelligence surpassing human cognitive levels and realize the ultimate objective of co-evolutionary human-computer interactions, this article analyzed various related aspects such as the human-computer interaction process, knowledge base construction, visual programming tool development, and thinking operating system design. This article proposed a method for simulating human thinking processes by computer: Firstly, it clarified the route by starting from the “teaching and learning” mode, which was the human-computer interaction computing mode, enabling the gradual accumulation of knowledge and data, and established the thinking knowledge base. Secondly, it established human thinking simulation mechanisms on the thinking operation system, including state perception, common sense judgment, error rollback, static logic structure analysis for the programs, and dynamic execution path analysis. Thirdly, it discussed the computer implementation methods of the thinking operation system and applications in detail, using mechanisms such as autonomous enumeration and rule induction of input data features, common sense judgment rollback, automatic error self-healing, online self-programming, and system adaptation (generalized pattern matching); all the above mechanisms were commonly used in human thinking. Finally, it summarized the whole article, and the future research directions were proposed by the authors.
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