Vorparg

Vorparg is a fictional concept introduced to describe a preparatory phase in automated discourse systems, occurring before the construction of explicit arguments. It does not correspond to an established, real-world method in AI or linguistics.

In models that include Vorparg, the system first identifies issues, frames goals, and preselects evidence. The phase uses lightweight heuristics to assess relevance and potential biases, then passes a narrowed set of candidate claims to the main argument-generation module (parg).

Applications: In hypothetical debate simulators, Vorparg reduces computational load and improves coherence by pruning options early. It is discussed in literature on modular cognitive architectures and natural-language generation as a conceptual parallel to preprocessing steps in data pipelines. Critics argue it can embed early biases or over-prune possibilities, undermining originality.

See also: preprocessing, argumentation theory, natural language generation, cognitive architectures.