Xiao, Renbin, Wu, Bowen, Zhao, Jia and Chen, Zhizhen (Ryan) ORCID: https://orcid.org/0000-0001-6656-5854 (2025) Bionic computing in higher organisms from the perspective of collective intelligence: problem analysis and comprehensive review. Complex Systems and Complexity Science (复杂系统与复杂性科学), 22 (1). pp. 1-11. ISSN 1672-3813 (doi:10.13306/j.1672-3813.2025.01.000)

Preview

PDF (VoR (in Chinese)) 49846 CHEN_Bionic_Computing_In_Higher_Organisms_From_The_Perspective_Of_Collective_Intelligence_(VoR)_2025.pdf - Published Version Download (1MB) | Preview

Abstract

This paper focuses on higher organisms. From the perspective of collective intelligence as a whole, which encompasses swarm intelligence and crowd intelligence, this paper analyzes and develops a comprehensive review of the problems in bionic computing, and also proposes and explains a number of new perspectives and insights. On the basis of an overview on the research progress of bionic computation in higher organisms (including fundamental higher organisms, regular higher organisms and quasi-man organisms), we find the reflux phenomenon in the research on the trend of making algorithms in the optimization of swarm intelligence, and give a reasonable interpretation of the reasons for the formation of the trend of making algorithms in the bionic-computational dimension and the problem-method dimensions. in turn, the overall idea of problem solving is given, and the two main development directions of bionic computing for collective intelligence are refined and formed. Emphasis on the expansion of bionic behavior towards cooperative behavior is dominant in the direction of collective intelligence bionic computing development. Aiming at the difficulties existing in the research of swarm intelligence optimization, five bottlenecks that need to be focused on the achievements of breakthroughs as proposed. Based on the overall view of "metaphorical bionic computing-normative bionic computing-complex bionic computing", we advocate the new paradigm of intelligent computing of complex bionic computing, and lead the direction for higher organism bionic computing.

Item Type:	Article
Uncontrolled Keywords:	collective intelligence, bionic computing, coperative behavior, primate, Zoo Algorithm, Intelligent Computing Paradigm
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > Political Economy, Governance, Finance and Accountability (PEGFA) Journal of Economic Literature Classification > Political Economy, Governance, Finance and Accountability (PEGFA) Greenwich Business School > School of Accounting, Finance and Economics
Related URLs:	Publisher
Last Modified:	25 Feb 2025 11:43
URI:	http://gala.gre.ac.uk/id/eprint/49846

Actions (login required)

View Item

Downloads