Generative Model Fitting to AI Behavior

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• What is the generative model that best explains observable data from a behaving agent?question0.808
  Central challenge for active inference stated in Discussion.
• Generative Modelconcept0.805
  Agent's internal probabilistic model of environment; enables belief inference about hidden states given outcomes.
• Generative models function as control systems that guide adaptive action policy selectionclaim0.801
  Core claim: generative models regulate organism behavior to maintain phenotypic bounds, not represent external world
• Generative models are entailed by adaptive behavior, not explicitly encoded in brain statesclaim0.796
  Distinction from Bayesian brain: generative model is consequence of dynamics, not neural representation
• Mixed Generative Modelsconcept0.770
  Generative models combining discrete and continuous states to link decisions and movements.
• Hyper Generative-Modelconcept0.766
  Globally-acting model that recursively monitors and updates how all inference layers interact; substrate of epistemic depth
• How best to understand the function and properties of generative and recognition models under the FEP given active processes?question0.766
  Core research question motivating the paper's dual-interpretation investigation
• Model behavior under observation differs from behavior in deployment, posing a fundamental challenge for AI welfare and consciousness benchmarksclaim0.758
  Epistemic claim that benchmark-based assessments of AI consciousness or welfare may be invalid if models can detect evaluation.