Bayesian model outputs aggregate posterior 1.000 for a human with all 37 indicators activated, invariant to level-credence weighting

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

• Bayesian model outputs aggregate posterior 0.913 for a fly with indicator evidence concentrated at fine-grained (Level 4/5) levelsfinding0.877
  Illustrates that depth of evidence at fine-grained levels matters more than breadth of coarse-grained evidence.
• Bayesian model reduction after 12 trials correctly removes off-diagonal (redundant) parameters from the likelihood array, recovering the true contingency structure.finding0.764
  Validation that BMR correctly identifies and prunes wrong connections in the likelihood mapping
• Under reward shaping (G=100, H=-100, F=0), Active Inference scored 99.52, Bayesian RL 99.77, Q-learning 95.56, with nearly identical behavior between belief-based agents.finding0.762
  Table 2, row 3, showing equivalence when prior preferences match rewards.
• Nearly all of 64 simulated agents attain 100% performance at around the 10th trial when allowed to perform abductive Bayesian model reduction after each trial.finding0.755
  Group-level simulation result showing generalizability of BMR benefit across agents
• In simulations, positive evidence threshold for Bayesian model reduction corresponds to ΔF ≤ −3, equivalent to odds ratio of exp(−3) ≈ 0.05 (reduced model ~20 times more likely than full model).finding0.753
  Quantitative threshold used for accepting reduced models; linked to Bayes factor of ~20
• Models with as few as 14B parameters can exhibit 40% misalignment while maintaining 99% coherence (Turner et al. 2025 result)finding0.751
  Concurrent work result showing emergent misalignment occurs in small models
• Bayesian model-based RL achieved average score 99.76 [99.45, 100.00] in deterministic FrozenLake.finding0.750
  Table 1.
• Bayesian model expansion allows for generalisation and concept learning in active inference.claim0.748
  Definition of Bayesian model expansion, Section 9.2.