Construct · 6 fields · 17 citations

Where does reasoning collide?

One name. Different field. Different construct. One map.

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Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to reasoning is analogy.

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NORM → BEHAVIOUR (1968)SYSTEM 2, BY ANALOGYreasoning6 CONSTRUCTSLanguage modelsCHAIN-OF-THOUGHT · COMPUTECognitive psych.WASON · TYPE 1 · TYPE 2LogicDEDUCTION · ABDUCTIONLawANALOGY · PRECEDENTMaths educationPROOF · ARGUMENT · CLASSMoral psych.KOHLBERG · INTUITION FIRST

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2026

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Large language models

Reasoning as intermediate tokens that raise accuracy

A sequence of intermediate natural-language steps that a model emits before its answer, and the gain in benchmark accuracy those steps produce. Wei and colleagues fixed the usage in 2022: prompting a large model with worked examples that show the steps improves arithmetic, commonsense, and symbolic tasks, and the effect appears only above a certain scale. Snell and colleagues in 2024 generalised the idea to test-time compute (spending more inference on sampling, search, or longer chains) and "reasoning models" now name systems trained to do this by default. Kambhampati argued in 2024 that the steps are retrieval dressed as inference, and Mirzadeh and colleagues showed that changing the numbers or adding an irrelevant clause to grade-school problems drops accuracy sharply. The construct here is a measurable improvement on a task set, not a process anyone has observed.[1][2][3][4]

Unit
A model's output trace on a benchmark item
Recovery means
Not applicable, a chain is scored right or wrong; "self-correction" is a training target, not a return
Measured by
Accuracy on GSM8K, MATH, and similar sets, with and without intermediate steps; robustness under perturbed problems

Cognitive psychology

Reasoning as what people actually do with a rule

The mental processes by which people draw conclusions, studied by comparing what they conclude with what logic says they should. Wason's 1968 selection task fixed the paradigm: shown four cards and a conditional rule, most educated adults fail to pick the two cards that could falsify it. Evans and Stanovich's 2013 statement of dual-process theory separates Type 1 processing, which is autonomous and does not load working memory, from Type 2, which does and which can decouple from the current situation to run a hypothetical; Kahneman's 2011 book carried the split to a general audience as System 1 and System 2. The unit is a person's response, and the finding that defines the field is the gap between that response and the normative answer.[5][6][7]

Unit
A person's response to a reasoning problem, against a normative standard
Recovery means
Not applicable, the question is which process ran, not whether a state was regained
Measured by
Accuracy and response time on selection, syllogism, and belief-bias tasks; cognitive-ability correlates; working-memory load manipulations

Logic & philosophy

Reasoning as a relation between premises and conclusion

The inference from premises to a conclusion, classified by the kind of support the premises give. Peirce fixed the three-way split in 1878: deduction makes the conclusion certain given the premises, induction generalises from a sample, and hypothesis (later his abduction) infers a case that would explain the facts. Harman's 1965 paper named the third kind inference to the best explanation and argued that enumerative induction is a special case of it. Johnson-Laird's 1983 mental-models theory brought the logical question to psychology by proposing that people reason by building and searching models of the situation rather than by applying rules. The construct is normative: it says when a conclusion is warranted, whether or not anyone draws it.[8][9][10]

Unit
An argument, a set of premises and a conclusion
Recovery means
Not applicable
Measured by
Not measured; assessed by validity, strength, or explanatory adequacy

Law

Reasoning as moving from case to case by analogy

The method by which a court decides a new case by reference to decided ones, and the discipline of justifying that decision in writing. Levi fixed the description in 1949: legal reasoning is reasoning by example, a three-step process in which a judge finds a similarity between the cases, states the rule of the earlier one, and applies it to the later, with the rule changing as it travels. Schauer's 2009 account adds what makes the method distinctively legal: precedent binds even when the judge thinks it wrong, rules are followed for their form as well as their content, and the reasons given are public. The criterion is not truth but a decision that can be defended within the sources the system recognises.[11][12]

Unit
A judicial decision, justified against prior decisions and enacted rules
Recovery means
Not applicable, a decision is affirmed, distinguished, or overruled, not recovered
Measured by
Not measured; assessed through the opinion's fit with authority and its treatment by later courts

Mathematics education

Reasoning as the route from conjecture to proof

The activity of making, testing, and justifying mathematical claims in a classroom, from informal argument to proof. Ball and Bass set out in 2003 why reasoning is the core of learning mathematics, not a topic within it: it is how a class establishes that something is true and why. Stylianides fixed a working definition of proof for school mathematics in 2007 (an argument that uses statements the classroom community accepts, forms of reasoning it knows to be valid, and modes of expression it can follow) which lets a teacher judge whether a nine-year-old's argument counts. The unit is a student's argument, and the standard is relative to the community that has to accept it.[13]

Unit
A student's mathematical argument, within a classroom community
Recovery means
Not applicable
Measured by
Classification of written and spoken arguments as empirical, generic, or deductive; proof-construction and proof-evaluation tasks

Moral psychology

Reasoning as the justification a person gives for a moral judgment

The justification a person gives when asked why an action is right or wrong, scored for the structure of the thinking rather than for the verdict. Kohlberg fixed the construct in 1969 with six stages from obedience to universal principle, elicited by dilemmas and coded from the reasons offered, and set out the philosophical case for the sequence in 1981. Haidt's 2001 social intuitionist model is the standing rebuttal: moral judgment arrives as an intuition, and the reasoning is usually post-hoc, produced to persuade others rather than to reach the verdict. The field's dispute is exactly whether the reasoning causes the judgment or follows it, a question the other meanings on this map never have to ask.[14][15][16]

Unit
A person's stated justification for a moral judgment
Recovery means
Not applicable, the stages are developmental and are not regressed to and regained
Measured by
Moral Judgment Interview, stage-scored; Defining Issues Test P and N2 scores
Scales indexed for this construct
  • Defining Issues Test, version 2 (DIT-2)Rest, J. R., Narvaez, D., Thoma, S. J., & Bebeau, M. J., 1999 · recognition-and-rating of considerations on five moral dilemmas, scored for the proportion of postconventional thinking60 items

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Nearby collisions

intent5 fields · 9 citationsjingle · one word, five constructsintelligence6 fields · 14 citationsjingle · one name, six constructsknowledge6 fields · 12 citationsjingle · one name, six constructs

References

  1. Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., Chi, E., Le, Q. V., & Zhou, D. (2022). Chain-of-thought prompting elicits reasoning in large language models. In Advances in Neural Information Processing Systems 35. arXiv:2201.11903 https://doi.org/10.48550/arXiv.2201.11903
  2. Snell, C., Lee, J., Xu, K., & Kumar, A. (2024). Scaling LLM test-time compute optimally can be more effective than scaling model parameters. arXiv:2408.03314 https://doi.org/10.48550/arXiv.2408.03314
  3. Kambhampati, S. (2024). Can large language models reason and plan? Annals of the New York Academy of Sciences, 1534(1), 15–18. https://doi.org/10.1111/nyas.15125
  4. Mirzadeh, I., Alizadeh, K., Shahrokhi, H., Tuzel, O., Bengio, S., & Farajtabar, M. (2024). GSM-Symbolic: Understanding the limitations of mathematical reasoning in large language models. arXiv:2410.05229 https://doi.org/10.48550/arXiv.2410.05229
  5. Wason, P. C. (1968). Reasoning about a rule. Quarterly Journal of Experimental Psychology, 20(3), 273–281. https://doi.org/10.1080/14640746808400161
  6. Evans, J. St. B. T., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspectives on Psychological Science, 8(3), 223–241. https://doi.org/10.1177/1745691612460685
  7. Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
  8. Peirce, C. S. (1878). Deduction, induction, and hypothesis. Popular Science Monthly, 13, 470–482.
  9. Harman, G. H. (1965). The inference to the best explanation. The Philosophical Review, 74(1), 88–95. https://doi.org/10.2307/2183532
  10. Johnson-Laird, P. N. (1983). Mental models: Towards a cognitive science of language, inference, and consciousness. Harvard University Press.
  11. Levi, E. H. (1949). An introduction to legal reasoning. University of Chicago Press.
  12. Schauer, F. (2009). Thinking like a lawyer: A new introduction to legal reasoning. Harvard University Press. https://doi.org/10.4159/9780674054561
  13. Stylianides, A. J. (2007). Proof and proving in school mathematics. Journal for Research in Mathematics Education, 38(3), 289–321. https://doi.org/10.2307/30034869
  14. Kohlberg, L. (1969). Stage and sequence: The cognitive-developmental approach to socialization. In D. A. Goslin (Ed.), Handbook of socialization theory and research (pp. 347–480). Rand McNally.
  15. Kohlberg, L. (1981). The philosophy of moral development: Moral stages and the idea of justice. Harper & Row.
  16. Haidt, J. (2001). The emotional dog and its rational tail: A social intuitionist approach to moral judgment. Psychological Review, 108(4), 814–834. https://doi.org/10.1037/0033-295X.108.4.814
  17. Rest, J. R., Narvaez, D., Thoma, S. J., & Bebeau, M. J. (1999). DIT2: Devising and testing a revised instrument of moral judgment. Journal of Educational Psychology, 91(4), 644–659. https://doi.org/10.1037/0022-0663.91.4.644

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