mlsanityData to 7 Oct 2026

Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds

arXiv 2201.10346 ↗First posted 24 Dec 2021q-bio.TO cs.MA q-bio.CBcited by 25

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Abstract (arXiv)

Synthetic biology and bioengineering provide the opportunity to create novel embodied cognitive systems (otherwise known as minds) in a very wide variety of chimeric architectures combining evolved and designed material and software. These advances are disrupting familiar concepts in the philosophy of mind, and require new ways of thinking about and comparing truly diverse intelligences, whose composition and origin are not like any of the available natural model species. In this Perspective, I introduce TAME - Technological Approach to Mind Everywhere - a framework for understanding and manipulating cognition in unconventional substrates. TAME formalizes a non-binary (continuous), empirically-based approach to strongly embodied agency. When applied to regenerating/developmental systems, TAME suggests a perspective on morphogenesis as an example of basal cognition. The deep symmetry between problem-solving in anatomical, physiological, transcriptional, and 3D (traditional behavioral) spaces drives specific hypotheses by which cognitive capacities can scale during evolution. An important medium exploited by evolution for joining active subunits into greater agents is developmental bioelectricity, implemented by pre-neural use of ion channels and gap junctions to scale cell-level feedback loops into anatomical homeostasis. This architecture of multi-scale competency of biological systems has important implications for plasticity of bodies and minds, greatly potentiating evolvability. Considering classical and recent data from the perspectives of computational science, evolutionary biology, and basal cognition, reveals a rich research program with many implications for cognitive science, evolutionary biology, regenerative medicine, and artificial intelligence.

Key facts. Cited by 25 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Dec 2021.

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Citing papers per year: 2022: 1; 2023: 4; 2024: 6; 2025: 7; 2026: 7.

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  1. 2024Diffusion Models are Evolutionary Algorithmscited by 15
  2. 2024Discovering Sensorimotor Agency in Cellular Automata using Diversity Searchcited by 9
  3. 2025Neural cellular automata: applications to biology and beyond classical AIcited by 9
  4. 2024A call for embodied AIcited by 7
  5. 2024Heuristically Adaptive Diffusion-Model Evolutionary Strategycited by 6
  6. 2023Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligencecited by 5
  7. 2022Biological Robots: Perspectives on an Emerging Interdisciplinary Fieldcited by 3
  8. 2025TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learningcited by 2
  9. 2024An AI Theory of Mind Will Enhance Our Collective Intelligencecited by 1
  10. 2025What Lives? A meta-analysis of diverse opinions on the definition of lifecited by 1
  11. 2025Artificial Consciousness as Interface Representationcited by 1
  12. 2026Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systemscited by 1
13 more
  1. 2026BraiNCA: brain-inspired neural cellular automata and applications to morphogenesis and motor controlcited by 1
  2. 2026Machine Psychometrics: A Mathematical Psychology of Artificial Intelligencecited by 1
  3. 2023Ensoul: A framework for the creation of self organizing intelligent ultra low power systems (SOULS) through evolutionary enerstatic networkscited by 0
  4. 2023Glamour muscles: why having a body is not what it means to be embodiedcited by 0
  5. 2023A Theory of Intelligencescited by 0
  6. 2024Exploring Cognition through Morphological Info-Computational Frameworkcited by 0
  7. 2025Topological constraints on self-organisation in locally interacting systemscited by 0
  8. 2025Goals and the Structure of Experiencecited by 0
  9. 2025Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning taskscited by 0
  10. 2026Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspectivecited by 0
  11. 2026Gradual Cognitive Externalization: From Modeling Cognition to Constituting Itcited by 0
  12. 2026Language Game: Talking to Non-Human Systemscited by 0
  13. 2026Process-Constituted Intelligence: A Shared Criterion for Humans and Machinescited by 0