Simulating collective intelligence of bio-inspired competing agents
Simulating collective intelligence of bio-inspired competing agents
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DOI：
10.1016/j.eswa.2016.03.016
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发表时间：
2016-09
期刊：
影响因子：
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通讯作者：
A. Asgari;Kaveh Hassani;Won-sook Lee
中科院分区：
文献类型：
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作者：
A. Asgari;Kaveh Hassani;Won-sook Lee
本文引入一个综合模型来研究能量流对随机多种群食饵-捕食者人工生态系统生命周期的影响。该模型由一个非静止的宿主环境与食物源和几种竞争的草食性和食肉性鸟类，可以执行几个个人和集体的行为，如集群，繁殖，竞争，休息，狩猎，逃跑，寻求和觅食。通过考克斯单变量分析和风险函数分析的11，000个模拟的实验结果表明，只有一小部分相关的能量变量和它们之间的成对相互作用影响寿命。该随机模型可以用来模拟复杂的多智能体系统及其涌现行为。此外，所提出的能量流的统计分析，以估计系统的稳定性和寿命可以推广到其他物理和经济的复杂系统。
In this paper, a comprehensive model is introduced to investigate the influence of energy flow on the lifetime of stochastic multi-species prey–predator artificial ecosystems. The model consists of a non-stationary hosting environment with food sources and a few species of competing herbivore and carnivore birds that can perform several individual and collective behaviors such as flocking, breeding, competing, resting, hunting, escaping, seeking, and foraging. The experimental results of 11,000 simulations analyzed by Cox univariate analysis and hazard function suggest that only a fraction of associated energy variables and pairwise interactions between them influence the lifetime. The proposed stochastic model can be utilized to simulate the complex multi-agent systems and their emergent behavior. Also, the proposed statistical analysis of energy flow to estimate the system stability and lifetime can be generalized to other physical and economical complex systems.