用个体矛盾驱动解释群体智能涌现，揭示其形成机制。
A Contradiction-Centered Model for the Emergence of Swarm Intelligence
- 以个体内部矛盾为核心，驱动行为与群体互动
- 实验验证模型可描述多种群体智能现象
- 适合研究群体行为、复杂系统与自组织的学者
群体智能的涌现现象广泛存在于自然与人类社会中。现有理论未能抓住其本质，缺乏普适性，难以解释各类涌现现象。本文提出一种以矛盾为中心的群体智能涌现模型：个体内部矛盾决定其行为与属性，个体因争夺与占用环境资源而相互关联与互动；互动与群体势能影响个体矛盾及其在群体中的分布，群体智能表现为个体矛盾的特定分布。该模型完整解释了群体智能涌现的条件、动态、路径、形成与过程。通过实现并分析多个群体智能系统，实验结果表明该模型具有良好的普适性，可用于描述多种群体智能的涌现。
原文摘要 · Abstract (English)
The phenomenon of emergence of swarm intelligence exists widely in nature and human society. People have been exploring the root cause of emergence of swarm intelligence and trying to establish general theories and models for emergence of swarm intelligence. However, the existing theories or models do not grasp the essence of swarm intelligence, so they lack generality and are difficult to explain various phenomena of emergence of swarm intelligence. In this paper, a contradiction-centered model for the emergence of swarm intelligence is proposed, in which the internal contradictions of individuals determine their behavior and properties, individuals are related and interact within the swarm because of competing and occupying environmental resources, interactions and swarm potential affect the internal contradictions of individuals and their distribution in the swarm, and the swarm intelligence is manifested as the specific distribution of individual contradictions. This model completely explains the conditions, dynamics, pathways, formations and processes of the emergence of swarm intelligence. In order to verify the validity of this model, several swarm intelligence systems are implemented and analyzed in this paper. The experimental results show that the model has good generality and can be used to describe the emergence of various swarm intelligence.
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