concept
active
concept:biological-agentsBiological agents
Natural living systems that have been shown to increase causal emergence after learning, motivating the cross-domain comparison.
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Papers (1)
paper
Concepts (1)
concept
- Artificial agentsassociated_withSynthetic agents (here RL-trained neural networks) whose causal emergence was previously largely unknown; the paper addresses this gap.
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.
- Any autonomous system including living and non-living forms that embodies a perception-action cycle and tries to navigate and persist in an environment
- The paper's characterization of living organisms' causal patterns as software — evolving, self-organizing, self-perpetuating, agentic — distinct from engineered code
- Synthetic living machines with predictable behavior.
- Agents that exhibit cognition-like behavior without neurons, meeting sentience criteria via electrically active cells.
- The artificial agents trained with RL in this study, whose latent dynamics are analyzed for causal emergence.
- Higher-level individuals (e.g., embryo, swarm) that arise from cooperative subunits, possessing goals not assignable to any one component.
- Central concept challenged in paper; traditionally defined by genetic identity or evolutionary units but shown to be more about cognitive organization and information integration.