摘要
本文从生物进化的角度,将群体中的每只昆虫看成一个神经元,彼此之间通过随机、松散的(软)的连接组成一个神经网络;然后,类似于人工神经网络模拟人类大脑,用"松散"的神经网络来模拟昆虫的群体行为。即建立一个松散的大脑——群体智能的随机结构的神经网络模型。最后,根据所建立的数学模型,分别对"蚂蚁筑巢"和"蜜蜂筑巢"行为进行计算机仿真模拟,以表明上述模型的合理性。
In this paper, from the biological evolution viewpoint, each insect of social insects is regarded as a neuron. They compose a neural network by the random and loose (soft) connections with each other. Similar to the artificial neural networks for modeling human brain, a loose neural network is used to model the collective behaviors of social insects. A loose brain, a random structural neural network model, is presented. Finally, based on the mathematical model, the behaviors of the 'buliding of ants' nest' and the 'building of bees' nest' are simulated by computer respectively to show the model rational.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2003年第1期1-5,共5页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(No.60135010
60175018)
国家"973"项目(No.G1998030509)资助项目
