Article

Exploring Simulated Morphic Fields for Sustainable Multi-Agent Learning and Education

2026-07-15

Abstract excerpt

<title>Abstract</title> <p>This paper proposes an exploratory architecture for distributed learning in humanoid and multi-agent robotic systems through a computational construct called a simulated morphic field. The term is used as an engineering metaphor for a persistent shared-memory layer, not as a biological or metaphysical claim. Drawing on Multi-Agent Reinforcement Learning (MARL), distributed cognition, so...

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Literature Corpus work: c53ba84f-65d1-5694-8aa2-b0fa9d7823ab
DOI: 10.21203/rs.3.rs-10349185/v1

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