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Antibiotic resistome of : molecular determinants for the emergence of drug resistance

Frontiers of Medicine 2021, Volume 15, Issue 5, Pages 693-703 doi: 10.1007/s11684-020-0777-6

Abstract: At present, the emergence of drug resistance because of resistome is a significant problem faced by clinicians

Keywords： S. typhi antibiotic resistance mechanism resistome identification methods

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Emergence mechanisms of group consensus in social networks

Frontiers of Engineering Management doi: 10.1007/s42524-023-0277-x

Abstract: This article redefines group consensus as the emergence of collective intelligence resulting from self-organizingon group consensus, we illuminate two frequently underestimated, yet noteworthy facets: Dynamism and emergence

Keywords： group consensus social network collective intelligence

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Emergence in cyber-physical systems: potential and risk

Shmuel Tyszberowicz, David Faitelson,tyshbe@tau.ac.il,davidf@afeka.ac.il

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11, Pages 1535-1670 doi: 10.1631/FITEE.2000279

Abstract: Emergence is an often unexpected pattern that arises from the interactions among the individual systemIn this paper we focus on three major problems concerning emergence in the context of CPSs: how to successfullyexploit emergence, how to avoid its detrimental effects in a single CPS, and how to avoid harmful emergence

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On the principles of Parsimony and Self-consistency for the emergence of intelligence Position Paper

Yi MA, Doris TSAO, Heung-Yeung SHUM

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9, Pages 1298-1323 doi: 10.1631/FITEE.2200297

Abstract: We believe the two principles serve as the cornerstone for the emergence of , artificial or natural.

Keywords： Intelligence Parsimony Self-consistency Rate reduction Deep networks Closed-loop transcription

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Theory of Collective Intelligence Evolution and Its Applications in Intelligent Robots

Qi Xiaoya, Liu Chuang, Fu Chen, Gan Zhongxue

Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 101-111 doi: 10.15302/J-SSCAE-2018.04.017

Abstract: ACO is used to solve complex path searching problems through CI emergence.network and reinforcement learning, but also due to the MCTS algorithm, which is discovered to be a CI emergenceevolution theory enables individual intelligence to evolve with high efficiency and low cost through CI emergence

Keywords： collective intelligence emergence evolution positive feedback ant colony optimization Monte-Carlo