群体智能视角下的高等生物仿生计算:问题分析与综合评述  

Bionic Computing in Higher Organisms from the Perspective of Collective Intelligence:Problem Analysis and Comprehensive Review

作　　者：肖人彬[1] 邬博文 赵嘉[2] 陈峙臻 XIAO Renbin;WU Bowen;ZHAO Jia;CHEN Zhizhen(School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China;School of Information Engineering,Nanchang Institute of Technology,Nanchang 330099,China;Business School,University of Greenwich,London SE109LS,UK)

机构地区：[1]华中科技大学人工智能与自动化学院,武汉430074 [2]南昌工程学院信息工程学院,南昌330099 [3]格林威治大学商学院,英国伦敦SE109LS

出　　处：《复杂系统与复杂性科学》2025年第1期1-10,共10页Complex Systems and Complexity Science

基　　金：科技创新2030-“新一代人工智能”重大项目(2018AAA0101200)。

摘　　要：以高等生物为关注点,从涵盖群智能和众智能的群体智能整体视角,对仿生计算中存在的问题进行分析并展开综合性评述,提出并阐释若干新的观点和见解。在对高等生物(涉及基本高等生物、常规高等生物和类人高等生物)仿生计算研究进展进行概要论述的基础上,针对群智能优化中以“动物园算法”为标志的造算法之风,发现研究中出现的回流现象,从仿生-计算维度和问题-方法维度对造算法之风的形成原因给予合理解读。进而给出解决问题的整体思路,提炼形成群体智能仿生计算的两个主要发展方向,强调仿生行为向合作行为方向的拓展在群体智能仿生计算发展方向上处于主导地位;针对群智能优化研究存在的困难,提出需要重点发力实现突破的5个瓶颈问题;基于“隐喻式仿生计算-规范仿生计算-复杂仿生计算”的整体视图,倡导复杂仿生计算的智能计算新范式,为高等生物仿生计算引领方向。Focusing on higher organisms,this paper analyzes and develops a comprehensive review of the problems in bionic computing and also proposes and expounds some new views and insights,from the perspective of collective intelligence as a whole,which includes swarm intelligence and crowd intelligence.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),the reflux phenomenon in the research on the trend of making algorithms marked by“zoo algorithm”in swarm intelligence optimization is found.A reasonable interpretation of the reasons for the formation of the trend of making algorithms from both the bionic-computational dimension and the problem-method dimension.Furthermore,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 to achieve breakthroughs are proposed.Based on the overall view of“metaphorical bionic computing-normative bionic computing-complex bionic computing”,the new paradigm of intelligent computing of complex bionic computing is advocated,which can guide the direction for higher organism bionic computing.

关 键 词：群体智能 仿生计算 合作行为 灵长类 动物园算法 智能计算范式 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP273[自动化与计算机技术—控制科学与工程]