processusgram

Processusgram is a theoretical framework proposed to integrate procedural knowledge into grammatical representations. The term blends processus, a Latin root meaning process, with gram, a suffix used in grammar and diagrammatic notation. In discussions within linguistics and cognitive science, processusgram is described as a hybrid approach that treats sentences not only as carriers of lexical and syntactic information but also as maps of actions, steps, or events that unfold over time.

Core ideas of processusgram include modeling text as graphs in which nodes denote events, actions, or states and edges encode temporal or causal relations. Syntactic roles remain linked to participating entities, while the graph structure reflects both linguistic structure and the flow of processes. The framework supports modular composition, enabling reuse of procedural subsequences across different texts or contexts. This makes it possible to align reading or generation of text with the underlying sequence of actions described.

Applications discussed in the literature focus on procedural texts such as manuals, recipes, and protocol descriptions, as well as interactive settings like human–robot collaboration and explainable artificial intelligence. In computational linguistics, processusgram is proposed to support natural language generation of step-by-step instructions and to aid dynamic action planning.

Example representations illustrate how a simple instruction like “Chop onions, then sauté until translucent” can be encoded with nodes for each action, temporal ordering between steps, and roles for agents and outcomes. The concept remains largely theoretical, with ongoing discussions about formalism, data requirements, and integration with existing grammatical theories.