Dependence of Péclet number on agent-based chemotactic predator–prey system

IF 0.8 Q4 ROBOTICS
Chikoo Oosawa
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引用次数: 0

Abstract

Here, we concentrate on the world that only chemicals are allowed to use as cues from agents, the chemicals secreted from all agents, diffuse and decay under fluid conditions, give rise to change of motility to agents, that is called chemotaxis. At first, motility of single agent is confirmed, and then we show a simple mechanism of predator (chaser)–prey (target) system consist of such chemotactic agents only. Finally, we explicitly consider fluid conditions in the system. The model system has parameter \(\alpha\), corresponding diffusion coefficient of the chemicals, inversely relates to Péclet numbers. The smaller Péclet numbers give rise to more obscure chemical traces, but leading to higher survivability-efficient to predator (chaser) as well as prey (target), indicating that they can use complex traces to change their moving directions without using any waves, such as electromagnetic and/or sound. These results can be regarded as an emergence phenomena of diffusion- and chemotaxis-driven swarm intelligence.

基于agent的趋化捕食系统的psamclet数的依赖性
在这里,我们关注的是只有化学物质才被允许作为媒介线索的世界,所有媒介分泌的化学物质在流体条件下扩散和衰变,引起媒介的运动变化,这被称为趋化性。首先确定了单个趋化因子的运动性,然后给出了一个由这些趋化因子组成的捕食者(追逐者)-猎物(目标)系统的简单机制。最后,我们明确地考虑了系统中的流体条件。模型系统有参数\(\alpha\),对应化学物质的扩散系数,与psamclet数成反比。较小的psamclet数量会产生更模糊的化学痕迹,但对捕食者(追逐者)和猎物(目标)的生存效率更高,这表明它们可以使用复杂的痕迹来改变它们的移动方向,而不使用任何波,如电磁波和/或声音。这些结果可以看作是扩散和趋化驱动的群体智能的出现现象。
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来源期刊
CiteScore
2.00
自引率
22.20%
发文量
101
期刊介绍: Artificial Life and Robotics is an international journal publishing original technical papers and authoritative state-of-the-art reviews on the development of new technologies concerning artificial life and robotics, especially computer-based simulation and hardware for the twenty-first century. This journal covers a broad multidisciplinary field, including areas such as artificial brain research, artificial intelligence, artificial life, artificial living, artificial mind research, brain science, chaos, cognitive science, complexity, computer graphics, evolutionary computations, fuzzy control, genetic algorithms, innovative computations, intelligent control and modelling, micromachines, micro-robot world cup soccer tournament, mobile vehicles, neural networks, neurocomputers, neurocomputing technologies and applications, robotics, robus virtual engineering, and virtual reality. Hardware-oriented submissions are particularly welcome. Publishing body: International Symposium on Artificial Life and RoboticsEditor-in-Chiei: Hiroshi Tanaka Hatanaka R Apartment 101, Hatanaka 8-7A, Ooaza-Hatanaka, Oita city, Oita, Japan 870-0856 ©International Symposium on Artificial Life and Robotics
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