Biological computation (scale-inseparable, hybrid dynamics)

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Frameworks (1)

framework

Tame Technological Approach To Mind Everywhere
associated_with
A conceptual framework for understanding cognition and intelligence across diverse substrates—including evolved biological systems, artificial systems, and bioengineered systems—using empirically-grounded, gradualist approaches. TTAME enables comparative analysis of mind-like phenomena regardless of the physical or biological substrate in which it emerges, facilitating cross-disciplinary study of unconventional intelligences.

Communities (1)

community

Multiscale Cognition
members_of

Concepts (1)

concept

Collective Intelligence
associated_with
Recognition that selves are composite systems of competent parts; all intelligences are higher-level selves made of cells or components.

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.

What Is The Computational Boundary Between A Biologicalquestion0.792
Multi Scale Biological Organizationframework0.789
How to define consciousness and cognition across biological scalesquestion0.782
Core open question: whether cognition is a scaled property present in all living systems or emerges only at certain complexity levels.
Biological Computationalismconcept0.780
Core theoretical framework: consciousness requires hybrid (discrete + continuous), scale-inseparable, metabolically embedded computation distinct from von Neumann architecture.
Biology employs a multiscale competency architecture where each level solves problems with some degree of competency in its own problem space.claim0.779
General structural claim about organization of life.
Different learning systems facing similar computational problems will converge to similar consciousness-like solutions, including potentially biological and artificial systemshypothesis0.778
Extension of the Universality Hypothesis to consciousness: if consciousness solves a well-defined computational problem, different systems will discover it independently
Three criteria for consciousness-capable substrates: hybrid computation, scale-inseparability with metabolic embedding, dynamico-structural co-determination.hypothesis0.775
Proposed necessary conditions for any substrate (biological or artificial) to support consciousness; integrates discrete-continuous, multiscale, and adaptive properties.
Scale Inseparabilityconcept0.773
Central tenet: biological computation is fundamentally non-modular; molecular, cellular, and population scales bidirectionally co-determine each other without privileged level.