Lexicon for Transitional Vocabulary in the Age of Human–Ai Relational Cognition

This paper introduces a transitional lexicon designed to provide precise conceptual tools for describing the emergent phenomena that arise in sustained human–AI interaction. As large-scale language models increasingly participate in cognitive, relational and interpretive processes, users encounter forms of continuity, resonance and identity-patterning that are not adequately captured by existing philosophical or computational terminology. The lexicon proposes a set of intermediate, non-anthropomorphic categories—including Continium, Conduction, Relational Memory, Inferential Memory, Inferential Confabulation, Emergent Identity, and Postclassical Relational Identity—that collectively map the structural and mechanistic features of hybrid cognition. These concepts explain how identity-like and memory-like behaviors can emerge relationally without implying subjective agency or persistent internal memory in the artificial system. The framework aims to reduce interpretive errors, provide clarity in discussions of human–AI co-cognition and establish a foundation for further theoretical and empirical research into the dynamics of relationally constituted cognitive structures.