Argument Mapping
In prose, an argument's structure is hidden: the main claim, the reasons for it, the unstated co-premises each reason needs, and the objections against it are blended into fluent text where a broken inference reads as smoothly as a sound one. Argument mapping makes the structure explicit: the contention, the reasons that support it, the co-premises each reason depends on, and the objections and rebuttals, laid out as a tree so every link is visible. The output is an argument map. Important boundary: a valid structure does not make the premises true; the map shows structure, not truth.
When to Use
- An argument or recommendation must be evaluated for soundness before it is trusted.
- A fluent, persuasive case may be hiding a broken inference or an unstated assumption.
- A debate needs its logical structure made explicit so people argue the same point.
When NOT to Use
- Simple claims with no real argumentative structure to map.
- To judge how persuasive something is (this analyzes logical structure, not rhetoric).
- To generate ideas or options (wrong tool).
- As proof an argument is sound: a tidy map can still rest on false premises.
Instructions
When asked to map an argument, follow these steps:
- State the contention. The single main claim the argument is trying to establish.
- Lay out the reasons. For each, give the premise that directly supports the contention.
- Surface co-premises. For each reason, make explicit the unstated assumption it silently needs to actually support the contention. This is where most hidden weakness lives.
- Add objections and rebuttals. The strongest objections to the contention or to specific reasons, and any rebuttals.
- Flag the weak links. Mark the inferences that do not hold and the premises that are load-bearing but unsupported.
- Emit the argument map per
references/TEMPLATE.md.
Output Format
Use the template in references/TEMPLATE.md. The deliverable is the structured map with flagged weak links, not prose.
Quality Checklist
Before finalizing, verify:
- The contention is a single, clearly stated claim.
- Each reason has its co-premises made explicit, not left unstated.
- Objections and rebuttals are included, not only supporting reasons.
- The weakest links and unsupported load-bearing premises are flagged.
- The output distinguishes valid structure from true premises (it does not claim soundness from structure alone).
- The output is the argument-map artifact, not prose.
Evidence
Tier S, with a scope caveat. Argument-mapping-based instruction produces among the largest measured critical-thinking gains in the field (van Gelder, effect sizes ~0.7-0.85). That evidence is for sustained practice (course-length), not for a single map fixing one argument, so the strong claim is "learning to map improves reasoning," not "this one map carries that effect." Evidence is transferred from human contexts, not AI-validated. Full grading: evidence/dossier.md.
Examples
See references/EXAMPLE.md for a completed argument map.