The Generative Grammar of Lacan's Graph of Desire: Toward a Formal Account of Psychoanalytic Trajectories
This paper develops a formal framework for representing trajectories through Lacan's Graph of Desire as generatively produced symbolic structures. The analysis proceeds at two resolutions. A coarse representation uses the registers of the Real, Symbolic, and Imaginary to define register-level trajectory languages, while a finer representation reconstructs traversals through the positions, mathemes, and relations of the Graph of Desire itself. The relation between these levels is treated through projection and coarse-graining, allowing distinct fine-grained derivations to share the same register-level representation. Rather than presupposing a single privileged generative formalism, the paper examines several families of generative models, including finite-state and regular grammars, context-free and probabilistic grammars, weighted and context-dependent formalisms, graph-based approaches, and neural P systems. These formalisms are evaluated according to the structural properties they preserve, including admissible traversal, recursive generation, recurrent symbol production, derivational history, contextual dependence, and temporally evolving internal configurations. Particular attention is given to the distinction between a generated symbolic word, the derivational process that produces it, and the historically situated psychoanalytic trajectory to which it may be interpreted as corresponding. The resulting framework treats formal grammar as a disciplined language for comparing multiple resolutions and mechanisms of trajectory generation. It does not identify a formal model with the causal mechanism of subjectivity. The contribution is therefore limited to a structured reconstruction of Lacanian traversal, an explicit relation between coarse and fine trajectory languages, and a comparative account of the generative formalisms available for representing their production.
Authors
- Wanhong HUANG
Institutions
- Creative Commons (US)
Publication Details
- Journal
- Knowledge Commons (Lakehead University)
- Published
- 2026-09-04
- DOI
- https://doi.org/10.17613/kfedb-zqb84
- Primary Topic
- Origins and Evolution of Life
- Type
- article
- Field-Weighted Citation Impact
- 0.00