AI reasoning isn't just step-by-step thinking: a thread breaks down 7 reasoning types
goyalshaliniuk · x · 2026-09-14
@goyalshaliniuk posted a thread arguing that AI reasoning isn't just "thinking step by step" — different tasks call for different reasoning patterns. The 7 types covered:
- Deductive: derive logically certain conclusions from known rules (classic syllogism); good for logic, compliance, rule-based decisions.
- Inductive: spot a general pattern from examples (learning spam signals from thousands of emails); good for classification and prediction.
- Abductive: pick the most likely explanation for evidence (slow server → possible database bottleneck); good for debugging and root-cause analysis.
- Causal: understand what causes what, not just correlation (did the deploy cause the perf drop?); good for troubleshooting and experiments.
- Analogical: solve new problems by comparing to similar solved ones; good for design and planning.
- Counterfactual: ask "what if we used a smaller model / removed this tool?"; good for planning, risk analysis and strategy.
A general-audience explainer delivered as a reply series.
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