Stop saying LLM: Large Discourse Models (LDM) and Artificial Discursive Agent (ADA)?
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
This paper proposes an epistemological shift in the analysis of large generative models, replacing the category ''Large Language Models'' (LLM) with that of ''Large Discourse Models'' (LDM), and then with that of Artificial Discursive Agent (ADA). The theoretical framework is based on an ontological triad distinguishing three regulatory instances: the apprehension of the phenomenal regularities of the referential world, the structuring of embodied cognition, and the structural-linguistic sedimentation of the utterance within a socio-historical context. LDMs, operating on the product of these three instances (the document), model the discursive projection of a portion of human experience reified by the learning corpus. The proposed program aims to replace the ''fascination/fear'' dichotomy with public trials and procedures that make the place, uses, and limits of artificial discursive agents in contemporary social space decipherable, situating this approach within a perspective of governance and co-regulation involving the State, industry, civil society, and academia.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 2 of its 11 references that are in the map. First posted on arXiv 22 Dec 2025.
Builds on
2 of 11 references.
References · 2
- 2019BERT Rediscovers the Classical NLP Pipelinecited by 1,059
- 2024The Platonic Representation Hypothesiscited by 382
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- 2024Large Language Models as Instruments of Power: New Regimes of Autonomous Manipulation and Control
- 2026Mapping the Emerging Social Science of Large Language Models
- 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations
- 2026The Almost Intelligent Revolution: Options for Scaling Up Deliberation and Empowering People with AI
- 2025Beyond Static Responses: Multi-Agent LLM Systems as a New Paradigm for Social Science Research
- 2025Too Human to Model:The Uncanny Valley of LLMs in Social Simulation -- When Generative Language Agents Misalign with Modelling Principles
- 2025Evaluating the Use of Large Language Models as Synthetic Social Agents in Social Science Research
- 2025Epistemological Fault Lines Between Human and Artificial Intelligence