Elementary Semiotic Events: The Logic of Modelling and Justifying Biological Semiosis

Abstract Attributing semiosis to biological processes requires an account of how molecular observations and causal explanations warrant a proposed interpretive relation. Elementary Semiotic Events (ESE) is proposed as a typed, theory-relative framework for assessing claims about sign mediation within explicitly individuated biological episodes. Each claim is indexed by a theory, question, episode and context; observations, interpretive roles, evidence, defeaters and inferential losses are separately recorded. ESE distinguishes derivability, evidential support, and conditional permission to assert a theory-relative semiotic interpretation. Drawing constructively on Peircean biosemiotics, mechanism, organizational function, causal inference, measurement and the analysis of revisable arguments, the framework examines whether proposed sign–object–interpretant relations have scientifically defensible biological witnesses. Its Peircean–organizational profile brings attributed semiotic and functional criteria into a synthetic, explicitly testable assessment of their inferential connections. An abductive clue informs the investigator’s hypothesis; the proposed biological sign is assessed through an organism-relative relation. Formal counterexamples show how aggregated evidence may wrongly certify an earlier obligation using a later witness, or wrongly reject independently restored evidence. A transcription factor–DNA scenario keeps sequence recognition, occupancy, regulation, function and semiotic attribution distinct. Synthetic checks establish bounded properties of documentation policies, while the attribution of biological semiosis remains a separate scientific judgment. The result is a procedure for articulating and restricting candidate semiotic claims, including legitimate negative or non-identifiable outcomes, while incorporating adequate mechanistic explanations. Record contentsThe deposit contains the extended author preprint (not peer reviewed), Online Resource 1 (textual Supplementary Information S1–S7), and Online Resource 2 (the computational reference supplement). The computational supplement reports bounded synthetic/formal tests; it contains no empirical molecular dataset and does not claim independent scientific-oracle validation. DeclarationsFunding and support: none. Relevant competing interests: none declared. Generative-AI assistance and verification. AI tools were used to support search organization and evidence-register construction. The author independently verified the retained sources, bibliographic metadata, substantive claims, inferences, and final wording against publisher, indexing, lexicographic, or official institutional sources as appropriate, and accepts full responsibility for the final manuscript. License: CC BY-NC-ND 4.0 applies to the deposited files.