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Critical Thinking for Transformative Justice

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M) and "is mortal" (here D): the<br />

sentence is given by the judgement<br />

A(M,D). In predicate logic, the<br />

sentence involves the same two nonlogical<br />

concepts, here analyzed as<br />

and<br />

, and the sentence is<br />

given by ,<br />

involving the logical connectives <strong>for</strong><br />

universal quantification and<br />

implication.<br />

• But equally, the modern view is<br />

more powerful. Medieval logicians<br />

recognized the problem of multiple<br />

generality, where Aristotelian logic<br />

is unable to satisfactorily render such<br />

sentences as "Some guys have all the<br />

luck", because both quantities "all"<br />

and "some" may be relevant in an<br />

inference, but the fixed scheme that<br />

Aristotle used allows only one to<br />

govern the inference. Just as linguists<br />

recognize recursive structure in<br />

natural languages, it appears that<br />

logic needs recursive structure.<br />

Deductive and inductive reasoning,<br />

and abductive inference<br />

Deductive reasoning concerns what follows<br />

necessarily from given premises (if a, then<br />

b). However, inductive reasoning—the<br />

process of deriving a reliable generalization<br />

from observations—has sometimes been<br />

included in the study of logic. Similarly, it is<br />

important to distinguish deductive validity<br />

and inductive validity (called "cogency").<br />

An inference is deductively valid if and only<br />

if there is no possible situation in which all<br />

the premises are true but the conclusion<br />

false. An inductive argument can be neither<br />

valid nor invalid; its premises give only<br />

some degree of probability, but not<br />

certainty, to its conclusion.<br />

The notion of deductive validity can be<br />

rigorously stated <strong>for</strong> systems of <strong>for</strong>mal logic<br />

in terms of the well-understood notions of<br />

semantics. Inductive validity on the other<br />

hand requires us to define a reliable<br />

generalization of<br />

some set of<br />

observations. The<br />

task of providing<br />

this definition may<br />

be approached in<br />

various ways, some<br />

less <strong>for</strong>mal than<br />

others; some of<br />

these definitions<br />

may use mathematical models of<br />

probability. For the most part this discussion<br />

of logic deals only with deductive logic.<br />

Abduction is a <strong>for</strong>m of logical inference that<br />

goes from observation to a hypothesis that<br />

accounts <strong>for</strong> the reliable data (observation)<br />

and seeks to explain relevant evidence. The<br />

American philosopher Charles Sanders<br />

Peirce (1839–1914) first introduced the term<br />

as "guessing". Peirce said that to abduce a<br />

hypothetical explanation from an observed<br />

surprising circumstance is to surmise that<br />

may be true because then would be a<br />

matter of course. Thus, to abduce from<br />

involves determining that is sufficient (or<br />

nearly sufficient), but not necessary, <strong>for</strong> .<br />

Consistency, validity, soundness, and<br />

completeness<br />

Among the important properties that logical<br />

systems can have:<br />

• Consistency, which means that no<br />

theorem of the system contradicts<br />

another.<br />

• Validity, which means that the<br />

system's rules of proof never allow a<br />

false inference from true premises. A<br />

logical system has the property of<br />

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