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arxiv: 2604.21763 · v1 · submitted 2026-04-23 · ❄️ cond-mat.other · nlin.AO

Recognition: unknown

Physics of Computation and Behavior in Plants

Yasmine Meroz

Authors on Pith no claims yet

Pith reviewed 2026-05-08 12:46 UTC · model grok-4.3

classification ❄️ cond-mat.other nlin.AO
keywords plant behaviordistributed computationactive mattertropismscircumnutationsmechanical intelligencefunctional stochasticitydecentralized systems
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0 comments X

The pith

Plants solve complex problems through distributed physical computation, mechanical material properties, and useful stochastic fluctuations rather than centralized control.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Plants navigate and optimize resources by growing differentially in response to signals, without a central brain. The paper presents three interlocking principles that together account for behaviors such as tropisms and circumnutations: information spreads and integrates across biochemical and mechanical fields, the plant's own shape and stiffness perform computations by coupling to the environment, and random fluctuations at every scale act as functional tools for exploration and adaptation. If these principles are sufficient, observed plant actions emerge directly from the coupled dynamics of growth, transport, mechanics, and noise. This view recasts plants as accessible examples of decentralized computation in active matter systems.

Core claim

The paper establishes a unified physical framework in which tropic responses and circumnutations are treated as spatio-temporal dynamical systems: information is encoded in biochemical and mechanical fields, integrated over space and time through growth-driven processes, and converted into differential elongation, while mechanical constraints and stochastic fluctuations supply additional computational resources that enhance sensing, navigation, and collective organization.

What carries the argument

The three complementary principles—distributed physical computation (integration of signals in fields), embodied mechanical intelligence (material properties performing computation via morphology-environment coupling), and functional stochasticity (noise as a resource across scales)—that together generate behavior from growth, transport, and mechanics.

If this is right

  • Tropic bending and nutational movements arise as the output of information integration across space and time within mechanical and chemical fields.
  • Mechanical interactions between plant structure and the environment allow computation to occur through the material itself rather than separate processing steps.
  • Stochastic fluctuations at molecular to whole-organism scales function as active contributors to sensing accuracy and exploratory behavior.
  • Plant systems can serve as experimental models for studying how behavior and form co-emerge in other decentralized active-matter systems.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The framework implies that targeted disruption of mechanical stiffness or noise amplitude should measurably degrade adaptive growth responses in controlled experiments.
  • It suggests searching for analogous physical-computation strategies in other growing or expanding systems such as fungal networks or regenerating tissues.
  • Engineering soft robotic devices could adopt growth-like differential expansion combined with controlled fluctuations to achieve decentralized navigation without electronics.

Load-bearing premise

The three principles are both necessary and jointly sufficient to produce the observed behaviors without any additional centralized controller or direct genetic instruction.

What would settle it

Documentation of a plant behavior, such as a specific tropism or circumnutation pattern, that cannot be reproduced by any combination of differential growth, mechanical coupling, and multi-scale fluctuations and instead requires an explicit centralized decision process.

read the original abstract

Plants solve complex problems without centralized control, relying instead on growth-driven dynamics to sense, navigate, and optimize resource acquisition. This review presents a unified physical framework for understanding plant behavior through three complementary principles: distributed physical computation, embodied mechanical intelligence, and functional stochasticity. Tropic responses and circumnutations are interpreted as spatio-temporal dynamical systems in which information is encoded in biochemical and mechanical fields, integrated over space and time, and translated into differential growth. Mechanical interactions couple morphology to environmental constraints, enabling computation through material properties. Stochastic fluctuations, from molecular to organismal scales, act as functional resources that enhance sensing, exploration, and collective organization. Together, these processes position plants as a model system for decentralized computation in active matter, where behavior and structure emerge from the interplay of growth, transport, mechanics, and noise.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 1 minor

Summary. The manuscript is a review synthesizing literature on plant behavior, arguing that plants achieve complex tasks such as resource optimization, tropisms, and circumnutations through growth-driven dynamics without centralized control. It proposes a unified physical framework based on three principles—distributed physical computation (information encoded and integrated in biochemical/mechanical fields), embodied mechanical intelligence (morphology coupled to environmental constraints via material properties), and functional stochasticity (fluctuations from molecular to organismal scales enhancing sensing and exploration)—to interpret these behaviors as emergent from the interplay of growth, transport, mechanics, and noise, positioning plants as a model for decentralized computation in active matter.

Significance. If the interpretive synthesis holds, the paper offers a coherent interdisciplinary perspective that links plant biology with concepts from active matter physics and decentralized computation, potentially guiding future modeling of emergent behavior in biological systems. Its strength is the explicit synthesis of prior experimental observations under these three headings, providing a narrative framework rather than new data or derivations.

major comments (1)
  1. Abstract: The central claim that the three principles are jointly sufficient to explain tropisms and circumnutations 'without requiring additional centralized or genetic control mechanisms' is presented as an interpretation of existing literature but is not supported by a minimal dynamical model, quantitative comparison of predictions against data, or explicit test showing that standard gene-regulatory models are unnecessary; this leaves the sufficiency untested and the active-matter framing as an analogy.
minor comments (1)
  1. The manuscript would benefit from clearer notation distinguishing the three principles when they are first introduced and from explicit cross-references to the specific cited experiments that support each principle's role in a given behavior.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive feedback and for recognizing the value of the interpretive synthesis. We agree that the abstract overstates the strength of the sufficiency claim for a review paper and will revise it to clarify the scope.

read point-by-point responses

  1. Referee: Abstract: The central claim that the three principles are jointly sufficient to explain tropisms and circumnutations 'without requiring additional centralized or genetic control mechanisms' is presented as an interpretation of existing literature but is not supported by a minimal dynamical model, quantitative comparison of predictions against data, or explicit test showing that standard gene-regulatory models are unnecessary; this leaves the sufficiency untested and the active-matter framing as an analogy.

    Authors: We accept this assessment. As a review, the manuscript synthesizes experimental observations from the literature under the three proposed principles but does not derive or simulate a minimal dynamical model, nor does it perform quantitative model-data comparisons or rule out gene-regulatory mechanisms. The phrasing in the abstract presents the framework as jointly sufficient in an interpretive sense, based on how growth, mechanics, and noise can encode and integrate information without centralized control. To correct this, we will revise the abstract to state that the three principles offer a coherent physical interpretation of the reviewed behaviors and to note explicitly that testing sufficiency through new models or direct comparisons with gene-centric accounts remains an open direction for future work. This change will position the active-matter framing as a unifying perspective rather than an untested assertion of exclusivity. revision: yes

Circularity Check

0 steps flagged

Review synthesizes observations under three principles without derivation or self-referential reduction

full rationale

The manuscript is a review that interprets tropisms, circumnutations, and other behaviors through the three stated principles (distributed physical computation, embodied mechanical intelligence, functional stochasticity) by citing and organizing prior experimental and theoretical results. No equations, dynamical models, or quantitative predictions are derived within the paper itself. The central claim is presented as an interpretive framework rather than a closed derivation; sufficiency of the principles is asserted as a synthesis rather than shown by reducing any observable to quantities defined by the framework's own fitted parameters or self-citations. Self-citations, where present, support specific cited observations and do not carry load-bearing uniqueness theorems or ansatzes that close the argument. The derivation chain is therefore self-contained against external benchmarks and exhibits no circular reduction.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The framework rests on domain-level biological and physical assumptions drawn from prior work rather than new postulates; no free parameters or invented entities are introduced in the abstract.

axioms (2)
  • domain assumption Plant behavior emerges from growth-driven dynamics without centralized neural control
    Stated as the starting point for interpreting tropisms and circumnutations as dynamical systems.
  • domain assumption Information can be encoded, integrated, and acted upon in distributed biochemical and mechanical fields
    Core premise of the distributed physical computation principle.

pith-pipeline@v0.9.0 · 5426 in / 1235 out tokens · 54659 ms · 2026-05-08T12:46:51.464649+00:00 · methodology

discussion (0)

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Reference graph

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