Scholarlink

<p>Living organisms have been expected to realize an emergent computing. Although a wide variety of biological systems has been exploited as computing devices, there have been a few attempts of computing devices employing animal collective behaviors. Previous studies have implemented collision-based logical gates employing swarms of soldier crabs, <i>Mictyris guinotae</i>. However, how to control their movements in connected multiple gates has yet to be proposed. This study focused on their characteristic behaviors, a positive phototaxis and a puddle-crossing, as a mechanism by which they would autonomously adapt the group size at the joint part of the assembled gates. We performed simulation with the mutual anticipation model, where agents interact with each other based on potential transitions. The model successfully reproduced these behaviors by adjusting environmental factors. We propose how to use them for interconnections between logic gates and discuss its significance in terms of cognitive interaction.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Simulation of phototactic and puddle-crossing behaviors: a step toward assembling swarm logic gates using soldier crabs

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月19日

查看全文
  • Yuta Nishiyama,
  • Kyohei Sagawa,
  • Hisashi Murakami,
  • Claudio Feliciani,
  • Davin Browner,
  • Andrew Adamatzky

摘要

Living organisms have been expected to realize an emergent computing. Although a wide variety of biological systems has been exploited as computing devices, there have been a few attempts of computing devices employing animal collective behaviors. Previous studies have implemented collision-based logical gates employing swarms of soldier crabs, Mictyris guinotae. However, how to control their movements in connected multiple gates has yet to be proposed. This study focused on their characteristic behaviors, a positive phototaxis and a puddle-crossing, as a mechanism by which they would autonomously adapt the group size at the joint part of the assembled gates. We performed simulation with the mutual anticipation model, where agents interact with each other based on potential transitions. The model successfully reproduced these behaviors by adjusting environmental factors. We propose how to use them for interconnections between logic gates and discuss its significance in terms of cognitive interaction.