Biology exhibits diverse forms of intelligence at multiple scales, from single cells to organs to the whole body. This multi-scale intelligence can inspire new approaches for AI.
Single cells and organisms like slime molds show problem-solving abilities by navigating morphological spaces and responding to environmental cues.
Organisms like planaria and salamanders show remarkable regenerative and adaptive capabilities, reconfiguring their bodies and brains in response to injuries.
Development and morphogenesis in organisms are not hardwired but involve navigation of a “morphe space” to achieve target morphologies despite perturbations.
Collectives of cells can exhibit intelligence by solving problems at larger scales, though this comes with failure modes like cancer.
Non-neural bioelectricity may serve as a “cognitive glue” for collective intelligence, analogous to the role of neurons in the brain.
Organisms show plasticity and ability to solve novel problems not seen during evolution, indicating a “problem-solving machine” architecture.
Intelligence can be abstracted as the ability to achieve goals using different means, with more sophisticated means indicating higher intelligence.
Novel hybrids and cyborgs combining biological and engineered materials may open up a vast design space for novel intelligent systems.
Stress propagation and gap junctions between cells may enable gradient-like information sharing that underpins collective intelligence.
Biology exhibits diverse forms of intelligence at multiple scales, from single cells to organs to the whole body. This multi-scale intelligence can inspire new approaches for AI.
Single cells and organisms like slime molds show problem-solving abilities by navigating morphological spaces and responding to environmental cues.
Organisms like planaria and salamanders show remarkable regenerative and adaptive capabilities, reconfiguring their bodies and brains in response to injuries.
Development and morphogenesis in organisms are not hardwired but involve navigation of a “morphe space” to achieve target morphologies despite perturbations.
Collectives of cells can exhibit intelligence by solving problems at larger scales, though this comes with failure modes like cancer.
Non-neural bioelectricity may serve as a “cognitive glue” for collective intelligence, analogous to the role of neurons in the brain.
Organisms show plasticity and ability to solve novel problems not seen during evolution, indicating a “problem-solving machine” architecture.
Intelligence can be abstracted as the ability to achieve goals using different means, with more sophisticated means indicating higher intelligence.
Novel hybrids and cyborgs combining biological and engineered materials may open up a vast design space for novel intelligent systems.
Stress propagation and gap junctions between cells may enable gradient-like information sharing that underpins collective intelligence.
https://www.youtube.com/watch?v=TgINASlxeXE