claim

active

claim:cognition-and-learning-are-substrate-independent-principles-familiar-in-artificial-neural-networks-can-be-implemented-by-any-network-of-signals-with-suitable-weighted-inputs

Cognition and learning are substrate-independent; principles familiar in artificial neural networks can be implemented by any network of signals with suitable weighted inputs.

Central thesis enabling unification of neural, developmental, ecological, and social networks as instances of collective intelligence.

Source paper

extracted_from

The collective intelligence of evolution and development

(2023) · Watson, Richard · Levin, Michael

Neighborhood — ranked by edge-count

Communities (3)

community

Collective intelligence & distributed cognition
members_of
All minds are composites of parts; individual and collective intelligence unified under substrate-neutral principles.
Substrate-independent cognition & consciousness
members_of
Gradualist, substrate-neutral frameworks extending cognition and sentience across biological and artificial networks.
Substrate-independent minimal cognition
members_of
Cognition as behavioral competence independent of physical substrate, exemplified by sparse neural circuits and single-cell organisms exhibiting goal-directed behavior.

Concepts (1)

concept

Connectionism
supports
Central framework proposing intelligence resides in organization of relationships between components, not in individual parts; used to unify individual and collective intelligence.

Claims (1)

claim

Cognition and learning are substrate-independent; principles of basal cognition can be implemented by any network with signals and non-linear responses to weighted inputs.
restates
Core thesis that cognitive principles transcend neural substrates, enabling application to gene-regulatory, ecological, and social networks.

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.

Cognition and learning are substrate-independent.quote0.909
Bold, load-bearing tenet of the paper's framework.
Associative learning occurs in gene regulatory networks and other non-neural systems, making it substrate-independent.claim0.844
Can Cognition And Learning Occur In Nonneural Substratesquestion0.824
What Are The Substrateindependent Computational Principles Enabling Cognitionquestion0.819
Connectionist models of cognition and learning identify conditions where collective intelligence can arise bottom-up, using only distributed learning mechanisms without system-level or global feedback.claim0.815
Central claim about the power of connectionism.
Neural bioelectric networks achieve a critical separation of hardware and software: the same molecular substrate can instantiate different informational content based on history, enabling minds to arise from matter.claim0.812
Foundational for understanding how physiology becomes meaning; decoupling of material state from information content is prerequisite for emergence of cognitive Self.
There is no privileged material substrate for Selves; cognition can arise in neurons, single cells, plants, tissues, swarms, and engineered systems.claim0.810
Second foundational pillar of TAME; supports basal cognition and rejects brain-centrism.
Neural networks compute cyclic concepts in generic substrate machinery (base-10 addition) not naturally cyclic computation.claim0.810

Cross-corpus bridges (12)

same_concept_as · Nomic cosine

External markdown files that talk about the same concept as this entity.

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Can cognition and learning occur in non-neural substrates, and what are the substrate-independent principles?questions/can-cognition-and-learning-occur-in-nonneural-substrates.md0.885
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What are the substrate-independent computational principles enabling cognition across chemical, genetic, bioelectric, neural, ecological and social networks?questions/what-are-the-substrateindependent-computational-principles-enabling-cognition.md0.866
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Is cognition fundamentally substrate-independent, or are there constraints on implementations?questions/is-cognition-fundamentally-substrateindependent-or-are-there-constraints.md0.855
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Can learning and optimization occur in non-neural physical systems?questions/can-learning-and-optimization-occur-in-nonneural-physical.md0.837
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Can connectionist models of individual cognition and learning be validly extended to explain collective intelligence in non-neural systems?questions/can-connectionist-models-of-individual-cognition-and-learning.md0.828
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What invariant principles enable cognitive and problem-solving capacities to scale across diverse biological substrates?questions/what-invariant-principles-enable-cognitive-and-problemsolving-capacities.md0.825
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Cognitionconcepts/cognitive/cognition.md0.805
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Neural Decodingframeworks/neural-decoding.md0.787
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Connectionist Models Of Cognitionconcepts/ai/connectionist-models-of-cognition.md0.784
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Substrate Independenceconcepts/interdisciplinary/substrate-independence.md0.782
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Multi-Layer Perceptronframeworks/multilayer-perceptron.md0.782
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Where is memory physically stored if not in synaptic structures, and how does the brain interpret engrams embodied in subcellular components?questions/where-is-memory-physically-stored-if-not-in.md0.781

Restated by (1)

cosine ≥ 0.90

Other entities that say roughly the same thing. May be merge candidates or independent restatements across papers.

claim
Cognition and learning are substrate-independent; principles of basal cognition can be implemented by any network with signals and non-linear responses to weighted inputs.