Argumtavi

Argumtavi is a hypothetical formal framework for representing and analyzing argumentative discourse. It is used in discussions of epistemology, logic, and artificial intelligence to study how arguments are structured, interact, and influence inference.

The name is a neologism formed from "argument" and a stylistic suffix "-tavi". It has no established linguistic origin and is used primarily in thought experiments or speculative literature.

In Argumtavi, arguments are modeled as a directed graph. Nodes may be claims, premises, evidential support, or objections. Edges indicate relationships such as support, rebuttal, entailment, or relevance. Each node can carry metadata: source, context, confidence, and provenance.

The framework accommodates defeasible reasoning and tracks the strength of each pathway.

Metrics include coherence, sufficiency, and relevancy; path-based reasoning helps identify the strongest lines of justification.

Used for argument mining, automated debate analysis, education, and policy analysis; also as a pedagogical tool to teach critical thinking.

Related to Toulmin model, argument maps, and graph-based knowledge representation; Argumtavi differs by its formal graph operations and automatic scoring.

As a concept, Argumtavi remains hypothetical and largely confined to theoretical discussions and illustrative examples.