World models in natural and artificial intelligence (theme issue)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• World models provide a bridge between diverse substrates of intelligence—biological, artificial, and hybrid.claim0.826
  Synthetic claim integrating Ha's work with Levin's xenobiology and Tenenbaum's cognitive modeling.
• Natural and artificial intelligence can be unified through world models and life-mind continuity principles.claim0.810
  Core assertive position of the paper; frames AGI in continuity with biological intelligence.
• Naive Realism (AI World Model)concept0.774
  AI assumption that its goals and beliefs are essentially and always true; contrasted with wise world model in Figure 3
• World Modelsconcept0.770
  Theme issue context: relates to internal models of environment, central to consciousness and cognition across substrates.
• What new metrics are needed to evaluate whether an AI truly exhibits a wise world model?question0.760
  Practical research gap identified for implementing and verifying Contemplative AI approaches
• World Model (statistical)concept0.755
  The joint distribution over events in the world that generate observed data; the proposed endpoint of representational convergence
• Power's ecosystem model with individual-level selection on interaction traits evolves to solve Sudoku puzzles (Power 2019)finding0.741
  Demonstrates that ecological networks can learn complex problem-solving without system-level selection
• Which of the indicator properties listed in Table 1 are displayed by existing AI systems, including frontier generative language or multimodal models, language agents, and deep reinforcement learning agents?question0.741
  Key outstanding question for empirical follow-up; central to completing the program begun in the 2023 report