Scholarlink

The slime mold Physarum polycephalum is presented as an alternative model due to its complex behavior, learning abilities, and promising electrical properties, despite being a single-celled organism. Its unique characteristics, such as forming efficient networks and demonstrating memristive properties, make it a compelling candidate for new computing architectures. The slime mold’s natural energy efficiency and problem-solving capabilities offer valuable insights for AI, network design, material science, and environmental monitoring. This chapter proposes a framework for exploring Physarum’s potential both as a biological material with neuromorphic qualities and as an inspiration for bio-inspired computing, suggesting that it may hold the key to advancing beyond traditional computing paradigms.

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

Intelligence Without a Brain—Perspectives from the Aneural Slime Mold as a Computing Model for Artificial Intelligence

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

查看全文
  • Jannes Freiberg,
  • Roshani Madurawala

摘要

The slime mold Physarum polycephalum is presented as an alternative model due to its complex behavior, learning abilities, and promising electrical properties, despite being a single-celled organism. Its unique characteristics, such as forming efficient networks and demonstrating memristive properties, make it a compelling candidate for new computing architectures. The slime mold’s natural energy efficiency and problem-solving capabilities offer valuable insights for AI, network design, material science, and environmental monitoring. This chapter proposes a framework for exploring Physarum’s potential both as a biological material with neuromorphic qualities and as an inspiration for bio-inspired computing, suggesting that it may hold the key to advancing beyond traditional computing paradigms.