The primate brain and artificial intelligence(AI) can both be conceptualized as information processing systems, each with its own distinct biological and computational architectures. While there are parallels between ...The primate brain and artificial intelligence(AI) can both be conceptualized as information processing systems, each with its own distinct biological and computational architectures. While there are parallels between them, their respective structural and functional connections show significant differences. In this paper, we examine the central role of feedback processing in both the primate brain and AI systems, which has been shown to be crucial in shaping neural processing. By reviewing the key features of feedback processes in the primate brain, which allows the brain to incorporate prior knowledge, contextual information, and taskdemands into early-stage processing, we highlight the divergence in goals and functions between biological and AI systems.Understanding these differences is crucial for elucidating the cognitive capabilities of the primate brain and for addressing computational challenges in AI. In advocating “Cognition-Inspired-Computation”, we suggest that integrating insights from feedback processing in the primate brain into AI research will offer potentially significant improvements for the advancement of AI systems.展开更多
This paper focuses on providing effective feedback for the students in the writing process.Excessivemarking is defective as it reduces their motivation,whereas minimal marking is recommended as itimproves their inner ...This paper focuses on providing effective feedback for the students in the writing process.Excessivemarking is defective as it reduces their motivation,whereas minimal marking is recommended as itimproves their inner drive for writing.In addition,there are other forms of feedback,such as peerfeedback,comments and face-to-face discussions.The students are required to act on the feedback totheir own advantage.It has been proved that the proposed correcting method is time-saving,chal-lenging and efficient.展开更多
The author discusses the application of System Dynamics to high-level strategic simulation in construction. In particular, System Dynamics' strength on representing feedback processes, aggregation, soft variables,...The author discusses the application of System Dynamics to high-level strategic simulation in construction. In particular, System Dynamics' strength on representing feedback processes, aggregation, soft variables,and continuous simulation clock for high-level simulation are discussed using real modeling examples. From this exercise, it is concluded that System Dynamics offers a great potential for strategic simulation in construction.Further, the author proposes a comprehensive simulation framework that integrates System Dynamics and Discrete Event Simulation for a strategic decision making process in construction where operational details should be taken into account.展开更多
Using a relay feedback approach,mathematical expressions for identification of real-time level control system in transfer function form are proposed in this paper.An ideal relay with hysteresis is feedback to a simple...Using a relay feedback approach,mathematical expressions for identification of real-time level control system in transfer function form are proposed in this paper.An ideal relay with hysteresis is feedback to a simple level control system for the generation of sustained oscillations.Subsequently,limit cycle information is utilised in deduced expressions for the estimation of unknown system parameters.Using describing function analysis,the gain of an ideal relay with hysteresis is approximated to yield simple mathematical expressions.Typical examples from literature are considered to show the effectiveness of the proposed identification scheme.Yokogawa distributed control system:CENTUM CS 3000 is considered as a platform for the realisation of both relay feedback and Ziegler-Nichols(ZN)method.The accuracy of derived transfer function models is compared with a model derived from ZN method and thereafter demonstrated through frequency response plots which illustrate the experimental validation of the identified real-time process model.展开更多
基金supported by the National Key Research and Development Program of China (Grant Nos. 2021ZD0204200, and 2021ZD0203800)the Key Research Program of Frontier Sciences, Chinese Academy of Sciences (Grant No. KJZDSW-L08)CAS Project for Young Scientists in Basic Research (Grant No. YSBR-071)。
文摘The primate brain and artificial intelligence(AI) can both be conceptualized as information processing systems, each with its own distinct biological and computational architectures. While there are parallels between them, their respective structural and functional connections show significant differences. In this paper, we examine the central role of feedback processing in both the primate brain and AI systems, which has been shown to be crucial in shaping neural processing. By reviewing the key features of feedback processes in the primate brain, which allows the brain to incorporate prior knowledge, contextual information, and taskdemands into early-stage processing, we highlight the divergence in goals and functions between biological and AI systems.Understanding these differences is crucial for elucidating the cognitive capabilities of the primate brain and for addressing computational challenges in AI. In advocating “Cognition-Inspired-Computation”, we suggest that integrating insights from feedback processing in the primate brain into AI research will offer potentially significant improvements for the advancement of AI systems.
文摘This paper focuses on providing effective feedback for the students in the writing process.Excessivemarking is defective as it reduces their motivation,whereas minimal marking is recommended as itimproves their inner drive for writing.In addition,there are other forms of feedback,such as peerfeedback,comments and face-to-face discussions.The students are required to act on the feedback totheir own advantage.It has been proved that the proposed correcting method is time-saving,chal-lenging and efficient.
文摘The author discusses the application of System Dynamics to high-level strategic simulation in construction. In particular, System Dynamics' strength on representing feedback processes, aggregation, soft variables,and continuous simulation clock for high-level simulation are discussed using real modeling examples. From this exercise, it is concluded that System Dynamics offers a great potential for strategic simulation in construction.Further, the author proposes a comprehensive simulation framework that integrates System Dynamics and Discrete Event Simulation for a strategic decision making process in construction where operational details should be taken into account.
文摘Using a relay feedback approach,mathematical expressions for identification of real-time level control system in transfer function form are proposed in this paper.An ideal relay with hysteresis is feedback to a simple level control system for the generation of sustained oscillations.Subsequently,limit cycle information is utilised in deduced expressions for the estimation of unknown system parameters.Using describing function analysis,the gain of an ideal relay with hysteresis is approximated to yield simple mathematical expressions.Typical examples from literature are considered to show the effectiveness of the proposed identification scheme.Yokogawa distributed control system:CENTUM CS 3000 is considered as a platform for the realisation of both relay feedback and Ziegler-Nichols(ZN)method.The accuracy of derived transfer function models is compared with a model derived from ZN method and thereafter demonstrated through frequency response plots which illustrate the experimental validation of the identified real-time process model.
