paper
merged
2022
paper:fnsys-16-768201

Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds

ByMichael Levin

TL;DR

TAME (Technological Approach to Mind Everywhere), introduced by Levin (2022, Front. Syst. Neurosci. 16:768201), proposes that cognition, agency, and selfhood exist on continuous, non-binary spectra instantiated across radically diverse substrates—including single cells, gene regulatory networks, morphogenetic tissue collectives, and chimeric bioengineered organisms—not only in brains. The framework's load-bearing claim is that morphogenesis constitutes a form of basal cognition: cellular collectives pursue specific anatomical target morphologies as homeostatic goal states, store those targets as rewritable bioelectric pattern memories encoded via ion channels and gap junctions, and solve problems in morphospace, transcriptional space, and physiological space with the same functional logic as behavioral problem-solving in 3D space. Empirical support includes planaria regenerating barium-insensitive heads by navigating transcriptional space with minimal gene regulation following exposure to a non-ecological stressor; tadpoles with ectopically positioned eyes on their tails nonetheless learning visual discrimination tasks; and genetically wild-type planaria permanently regenerating two-headed morphologies after transient bioelectric perturbation, with the altered pattern persisting through multiple rounds of regeneration without further treatment. Gap junctions are identified as the key scaling mechanism: by propagating signals between cells without ownership metadata, they partially erase informational identity among subunits, enabling the formation of larger Selves with anatomical-scale goal states—a dynamic whose breakdown, via oncogene-driven gap junction closure, recapitulates cancer as a reversion to unicellular-scale agency. TAME implies that the tools of cognitive science, reinforcement learning, and persuadability-based control should be applied directly to tissues and morphogenetic systems, that multi-scale competency architecture potentiates evolutionary speed by smoothing fitness landscapes and reducing apparent pleiotropy, and that ethics for novel bioengineered and chimeric beings cannot rely on substrate or origin as morally relevant categories.

What to take away

  1. 1. TAME (Technological Approach to Mind Everywhere) formalizes a continuous, non-binary axis of 'persuadability'—ranging from brute-force hardware rewiring at one extreme to rational-argument-responsive agents at the other—as the operationally testable core of agency attribution across all substrates.
  2. 2. Planaria exposed to barium (a non-ecological potassium channel blocker that causes heads to explode) regenerate barium-insensitive heads by regulating a very small number of genes out of the entire genome, demonstrating intelligent problem-solving in transcriptional space without any evolutionarily prepared response (Emmons-Bell et al., 2019).
  3. 3. Genetically wild-type planaria whose bioelectric gap-junctional network is transiently disrupted regenerate with head anatomies matching other extant Girardia species, and this altered pattern memory persists through multiple subsequent rounds of regeneration in plain water with no further chemical treatment (Emmons-Bell et al., 2015; Sullivan et al., 2016).
  4. 4. Tadpoles engineered to bear functional eyes on their tails—ectopically connected to spinal cord rather than brain—nevertheless succeed at light-mediated visual learning paradigms, illustrating that minds are not tightly bound to a single underlying hardware architecture (Blackiston and Levin, 2013).
  5. 5. Newt kidney tubules normally composed of 8–10 cells in cross-section adaptively reduce cell number when cell size is experimentally increased, and when cells are made very large, a single cell wraps around itself to form a correct-lumen tubule via cytoskeletal bending instead of cell-cell communication—demonstrating multi-scale competency of morphogenetic modules (Fankhauser, 1945a,b).
  6. 6. Gap junctions function as a scaling mechanism for selfhood by propagating second-messenger signals between cells without metadata marking their origin, thereby partially erasing informational identity among subunits and enabling tissue-level credit assignment and anatomical homeostasis; general anesthetics are gap junction blockers, and GJ closure in cancer recapitulates unicellular-scale agency (Wentlandt et al., 2006; Chernet and Levin, 2013a,b).
  7. 7. Multi-scale competency architecture (MCA) is predicted to potentiate evolutionary speed by at least three mechanisms: smoothing the fitness landscape so that mutations with mixed consequences can be evaluated independently, reducing apparent pleiotropy by locally compensating deleterious morphogenetic side-effects, and providing a Baldwin-effect-like patience that reduces the constraint that evolutionary benefits must be immediate.
  8. 8. TAME predicts a specific, testable bioinformatic overlap: genes categorized under morphogenesis should share significant membership with genes annotated for memory and learning, beyond the already-known overlap for ion channel, connexin, and neurotransmitter genes—an open hypothesis that remains to be systematically tested.
  9. 9. A replicable methodology proposed within TAME is tissue training via reinforcement schedules (nutrients/endorphins as reward, shock as punishment) rather than genetic or molecular pathway micromanagement, analogous to animal behavioral training, as a path to controlling anatomical and physiological outcomes in regenerative medicine contexts.
  10. 10. An open question raised by TAME is whether the continuum of cognition and consciousness contains a true zero—i.e., whether any physical system has absolutely no degree of goal-directed activity or sentience—or whether even particles exhibit infinitesimal proto-agency via quantum indeterminacy and least-action behavior, making the lower bound of the consciousness continuum asymptotically approached but never reached.

Peer brief — for seminar discussion

Levin's 2022 paper in Frontiers in Systems Neuroscience (Vol. 16, Article 768201) introduces TAME—Technological Approach to Mind Everywhere—as a theoretical and experimental framework for recognizing, comparing, and manipulating cognition across substrates that lie far outside the standard phylogenetic model-organism toolkit, including gene regulatory networks, morphogenetic tissue collectives, planaria, chimeric tadpoles, hybrots, and synthetic bioengineered organisms. The framework rests on three philosophical commitments: a strict gradualism that refuses binary distinctions between 'true cognition' and 'just physics'; substrate-independence of selfhood (no privileged material implementation); and the empirical, observer-dependent nature of agency attribution, operationalized via a 'persuadability axis' that runs from purely physical systems amenable only to hardware rewiring, through homeostatic circuits and trainable animals, to humans responsive to rational argument. The load-bearing finding is that morphogenesis qualifies as basal cognition under TAME's criteria because cellular collectives exhibit James' criterion of 'fixed ends with varying means': they store anatomical target morphologies as rewritable bioelectric pattern memories encoded via ion channels and gap junctions, and navigate morphospace, transcriptional space, and physiological space to reach those targets despite unpredictable perturbations. Key empirical anchors include planaria permanently regenerating two-headed morphologies from genetically wild-type tissue after transient bioelectric manipulation (Durant et al., 2017; Oviedo et al., 2010), planaria solving a novel barium-toxicity problem by regulating a minimal subset of the genome (Emmons-Bell et al., 2019), craniofacially scrambled 'Picasso tadpoles' self-correcting toward normal frog face configurations via novel paths through morphospace (Vandenberg et al., 2012), and newt kidney tubules composed of 8–10 cells adaptively restructuring so that a single enlarged cell wraps around itself to maintain correct lumen diameter (Fankhauser, 1945a,b). Gap junctions are identified as the mechanistic scaling device: because they propagate signals between cells without origin metadata, they partially dissolve informational identity among subunits, enabling anatomical-scale homeostatic loops and collective credit assignment—a dynamic whose pathological reversal, when oncogenes drive GJ closure, reduces cells to unicellular-scale agency and produces cancer. The framework implies that multi-scale competency architecture potentiates evolutionary speed by smoothing fitness landscapes and reducing apparent pleiotropy; that the tools of reinforcement learning and cognitive science should be applied directly to tissues (tissue training paradigms rather than molecular micromanagement); and that ethics for bioengineered and chimeric beings cannot rely on substrate, origin story, or similarity to human brains as morally relevant criteria. TAME also predicts a specific bioinformatic overlap between morphogenesis genes and memory/learning genes beyond the already-known ion channel and connexin families. An alternative theoretical framework that could have been used to organize these claims is Active Inference / the Free Energy Principle (Friston et al., 2015), which addresses similar questions of goal-directedness and homeostasis in biological systems; TAME acknowledges this as a planned integration rather than a completed one. A critical reader would push back most sharply on the evidential asymmetry between the framework's scope and its experimental grounding: the paper invokes a very wide range of phenomena—from bacterial biofilm bioelectrics to human dissociative identity disorder to game-theoretic models of cancer—but the direct experimental tests of TAME's distinctive predictions (trainability of morphogenesis via reinforcement schedules, the bioinformatic overlap between morphogenesis and memory gene sets, the specific Prisoners-Dilemma model with Merge and Split options) are explicitly flagged as ongoing or future work rather than completed results. The framework is therefore primarily a generative conceptual proposal supported by convergent post-hoc reinterpretation of existing data rather than by prospective hypothesis testing, and a skeptic would reasonably ask whether the persuadability axis and cognitive light cone constructs are sufficiently formalized to generate unambiguous, falsifiable predictions distinguishable from those of simpler control-theoretic or dynamical-systems accounts of morphogenesis that require no cognitive vocabulary.

Findings (18)

Claims (17)

Hypotheses (7)

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