In logic, inference is the process of deriving logical conclusions from premises known or assumed to be true. In checking a logical inference for formal and material validity, the meaning of only its logical vocabulary and of both its logical and extra-logical vocabulary[clarification needed] is considered, respectively.
For example, the inference "Socrates is a human, and each human must eventually die, therefore Socrates must eventually die" is a formally valid inference; it remains valid if the nonlogical vocabulary "Socrates", "is human", and "must eventually die" is arbitrarily, but consistently replaced.[note 1]
In contrast, the inference "Montreal is north of New York, therefore New York is south of Montreal" is materially valid only; its validity relies on the extra-logical relations "is north of" and "is south of" being converse to each other.[note 2]
Material inferences vs. enthymemes
Classical formal logic considers the above "north/south" inference as an enthymeme, that is, as an incomplete inference; it can be made formally valid by supplementing the tacitly used conversity relationship explicitly: "Montreal is north of New York, and whenever a location x is north of a location y, then y is south of x; therefore New York is south of Montreal".
Brandom on material inference
Robert Brandom adopted Sellars' view, arguing that everyday (practical) reasoning is usually non-monotonic, i.e. additional premises can turn a practically valid inference into an invalid one, e.g.
- "If I rub this match along the striking surface, then it will ignite." (p→q)
- "If p, but the match is inside a strong electromagnetic field, then it will not ignite." (p∧r→¬q)
- "If p and r, but the match is in a Faraday cage, then it will ignite." (p∧r∧s→q)
- "If p and r and s, but there is no oxygen in the room, then the match will not ignite." (p∧r∧s∧t→¬q)
Therefore, practically valid inference is different from formally valid inference (which is monotonic - the above argument that Socrates must eventually die cannot be challenged by whatever additional information), and should better be modelled by materially valid inference. While a classical logician could add a ceteris paribus clause to 1. to make it usable in formally valid inferences:
- "If I rub this match along the striking surface, then, ceteris paribus,[note 3] it will inflame."
However, Brandom doubts that the meaning of such a clause can be made explicit, and prefers to consider it as a hint to non-monotony rather than a miracle drug to establish monotony.
Moreover, the "match" example shows that a typical everyday inference can hardly be ever made formally complete. In a similar way, Lewis Carroll's dialogue "What the Tortoise Said to Achilles" demonstrates that the attempt to make every inference fully complete can lead to an infinite regression.
Material inference should not be confused with the following concepts, which refer to formal, not material validity:
- Material conditional — the logical connective "→" (i.e. "formally implies")
- Material implication (rule of inference) — a rule for formally replacing "→" by "¬" (negation) and "∨" (disjunction)
- A completely fictitious, but formally valid inference obtained by consistent replacement is e.g. "Buckbeak is a unicorn, and each unicorn has gills, therefore Buckbeak has gills".
- A completely fictitious, but materially (and formally) invalid inference obtained by consistent replacement is e.g. "Hagrid is younger than Albus, therefore Albus is larger than Hagrid". Consistent replacement doesn't respect conversity.
- literally: "all other things being equal"; here: "assuming a typical situation"
- Wilfrid Sellars (1980). J. Sicha. ed. Inference and Meaning. pp. 261f.
- Robert Brandom (2000). Articulating Reasons: An Introduction to Inferentialism. Harvard University Press. ISBN 0-674-00158-3. ; Sect. 2.III-IV
- Carroll, Lewis (Apr 1895). "What the Tortoise Said to Achilles". Mind. New Series 4 (14): 278–280. http://courseweb.stthomas.edu/kwkemp/logic/R/Tortoise.pdf.
Original source: https://en.wikipedia.org/wiki/Material inference. Read more