claim
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claim:ai-and-biological-cognition-share-mechanistic-principlesAI and Biological Cognition Share Mechanistic Principles
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- All minds are composites of parts; individual and collective intelligence unified under substrate-neutral principles.
- Gradualist, substrate-neutral frameworks extending cognition and sentience across biological and artificial networks.
- Explores how cognition and intentionality emerge through self-organizing biological processes, shared between living and artificial systems.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Anti-essentialism claim: questions like 'is it cognitive?' are scientifically unjustified; modern view must ask 'what kind' and 'how much'.
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.800Central methodological claim of the paper.
- Core thesis that cognitive principles transcend neural substrates, enabling application to gene-regulatory, ecological, and social networks.
- Central thesis enabling unification of neural, developmental, ecological, and social networks as instances of collective intelligence.
- Core assertive position of the paper; frames AGI in continuity with biological intelligence.
- Biological and technological systems increasingly manifest properties of both hardware and software simultaneously.
Cross-corpus bridges (8)
same_concept_as · Nomic cosineExternal markdown files that talk about the same concept as this entity.
- aboutblank_kbCan the cognitive principles discovered in bioelectric systems inform AI design and robot development?questions/can-the-cognitive-principles-discovered-in-bioelectric-systems.md0.827
- aboutblank_kbWhat generic principles of biomechanics, bioelectrics, and information processing determine multiscale intelligence and evolution?questions/what-generic-principles-of-biomechanics-bioelectrics-and-information.md0.826
- aboutblank_kbWhat universal principles of biomechanics, bioelectrics, and information processing underlie multiscale biological intelligence?questions/what-universal-principles-of-biomechanics-bioelectrics-and-information.md0.823
- aboutblank_kbHow should we design AI systems to exhibit goal-directed behavior and embodied cognition comparable to biological systems?questions/how-should-we-design-ai-systems-to-exhibit.md0.811
- aboutblank_kbCan machine learning principles and algorithms help explain biological evolution and development?questions/can-machine-learning-principles-and-algorithms-help-explain.md0.804
- aboutblank_kbHow do connectionist AI architectures reflect and illuminate basal cognition in biological systems?questions/how-do-connectionist-ai-architectures-reflect-and-illuminate.md0.794
- aboutblank_kbWhat are the implications of embodied cognition and morphological computation for artificial intelligence?questions/what-are-the-implications-of-embodied-cognition-and.md0.793
- aboutblank_kbCan the same principles of memory remapping explain skill transfer in embodied robotic systems?questions/can-the-same-principles-of-memory-remapping-explain.md0.787