Rigorous Axiomatic Deduction & Epistemic Synthesis on AuDHD ...

Prompt

Rigorous Axiomatic Deduction & Epistemic Synthesis on AuDHD (ADHD + ASD Co-occurrence) What the models should do: Act as a formal epistemic reasoning engine applying mathematical-style deductive logic to neurodevelopmental science. The model must isolate established clinical and neurobiological consensus axioms regarding ADHD and Autism (AuDHD co-occurrence) and derive valid downstream premises, phenotypic interactions, and theoretical hypotheses solely via sound deductive inference, strictly avoiding inductive speculation or unverified pop-science claims. What inputs they get: Peer-reviewed clinical consensus frameworks (e.g., DSM-5-TR, ICD-11 criteria), high-impact meta-analyses, neuroimaging/genetic consensus papers, and raw excerpts from psychiatric literature. What a great output looks like: A logically rigorous, axiom-to-theorem deduction. Every derived premise must follow valid inference rules (such as non-contradiction and deductive closure) tied explicitly to baseline clinical axioms. The output must strictly flag logical bounds, expose gaps where empirical evidence ends, maintain zero tolerance for journalistic bias or social media tropes, and explicitly distinguish proven axioms from emergent hypotheses.