claim

active

claim:progress-in-machine-behavior-science-and-biohybrid-engineering-breaks-down-the-simplistic-dualism-of-life-vs-machine-revealing-a-continuum-of-emergence-rational-control-and-agency

Progress in machine behavior science and biohybrid engineering breaks down the simplistic dualism of life vs. machine, revealing a continuum of emergence, rational control, and agency.

Second central claim: life and machine form a continuous multidimensional space, not discrete bins

Source paper

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Living Things Are Not (20th Century) Machines: Updating Mechanism Metaphors in Light of the Modern Science of Machine Behavior

(2021) · Joshua Bongard · Michael Levin

Neighborhood — ranked by edge-count

Findings (2)

finding

Evolutionary algorithm-designed Xenopus cell clusters exhibit fast self-motile behavior purely from evolved novel shape and tissue distribution, not neural control or genomic information.
supports
Empirical result from Kriegman et al. 2020 demonstrating that 'reprogramming' occurs without altering DNA software
Robots capable of self-modeling can model their own body and unexpected damage using AI methods, with morphological and mental changes occurring in parallel.
supports
Evidence for blurring of embodied robot / non-embodied AI distinction through self-modeling

Frameworks (1)

framework

Multi-Scale Option Space for Possible Living Machines
supports
Figure 1 framework with two axes (design vs. evolution; autonomy level) defining continuous space for classifying possible agents at each scale of organization

Concepts (3)

concept

Biohybrid Systems
supports
Systems composed of tightly integrated biological and artificial components at multiple scales, used as evidence against binary life/machine distinction
Active Matter
supports
Materials that consume energy and exhibit life-like collective dynamics; cited as new building block bridging biology and engineering
Edge of Chaos
supports
Regime of maximal adaptability in dynamical systems; cited as a property biological systems share with increasingly sophisticated machines

Questions (2)

question

Are there fundamentally different natural kinds, or major transitions, in the continuum of fused biological and technological systems?
gates
The paper's central open question: whether essential distinctions remain after hybridization erases contingent ones
Is there a distinction between simulating and instantiating a machine?
gates
Deep question raised in the virtual machine discussion, deferred to future work

Claims (2)

claim

No principled limits to functionalization between living systems and inorganic machinery are known; hybrid functional systems can be constructed that are part living tissue and part smart electronics.
supports
Strong claim that hybridization is unlimited in principle, making the life/machine binary conceptually untenable
The material implementation and back-story of a given system are not sufficient information to reliably place it into a category of machine vs. living being.
supports
Core ontological claim: composition and origin story are contingent, not essential, classifiers

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Progress in theory and practice requires a novel conception of 'machines as they could be,' based on the profound lessons of biology at all scales.claim0.824
The paper's overarching constructive goal, paralleling Langton's 'life as it could be'
Rahwan et al. 2019 called for a new field 'machine behavior' in which best explanations of machines combine holistic methods from ethology, social sciences, and cognitive science.finding0.818
Cited as the key precedent motivating the paper's framework
The conceptual distinctions between mind and body are artificial, and developmental biology and behavioral science should be unified.claim0.805
Calls for consilience across disciplines.
Current and forthcoming developments in bioengineering, synthetic morphology, artificial intelligence, biorobotics, and exobiology necessitate an expansion and generalization of sentience assessment efforts.claim0.805
Central argument that frameworks must go beyond natural species.
Hybrid bioengineered systems blur distinctions between intelligent machines and conscious life.claim0.804
Brain-machine interfaces and biological-electronic hybrids demonstrate no principled line between subjectivity and engineering.
Conceptual advances in the links between machine learning and evolution now provide quantitative formalisms with which to begin to develop testable models of collective intelligence across scales.claim0.801
Asserts that the time is ripe for formal models.
Biology's robustness, open-endedness, evolvability, and unique complexity likely depend on the fact that evolution works with an agential material.claim0.800
Central claim linking life's properties to the inherent competencies of its material substrate.
Morphogenetic and behavioral problem-solving share deep algorithmic and mechanistic symmetries, with bioelectric networks serving both developmental and neural functions via evolutionary pivot.hypothesis0.797
Testable prediction that insights from developmental bioelectricity can illuminate behavioral cognition and vice versa; grounds portability of neuroscience tools across tissue types.