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logic Logic is the study of correct reasoning. It includes both formal and informal logic. Formal logic is the science of deductively valid inferences or of logical truths. It is a formal science investigating how conclusions follow from premises ...
, a rational consequence relation is a non-monotonic
consequence relation Logical consequence (also entailment) is a fundamental concept in logic, which describes the relationship between statements that hold true when one statement logically ''follows from'' one or more statements. A valid logical argument is on ...
satisfying certain properties listed below.


Properties

A rational consequence relation \vdash satisfies: :; REF : Reflexivity \theta \vdash \theta and the so-called Gabbay-Makinson rules: :; LLE : Left Logical Equivalence \frac :; RWE : Right-hand weakening \frac :; CMO : Cautious
monotonicity In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order. This concept first arose in calculus, and was later generalized to the more abstract setting of order ...
\frac :; DIS :
Logical or In logic, disjunction is a logical connective typically notated as \lor and read aloud as "or". For instance, the English language sentence "it is raining or it is snowing" can be represented in logic using the disjunctive formula R \lor S ...
(ie disjunction) on left hand side \frac :; AND :
Logical and In logic, mathematics and linguistics, And (\wedge) is the truth-functional operator of logical conjunction; the ''and'' of a set of operands is true if and only if ''all'' of its operands are true. The logical connective that represents this ...
on right hand side \frac :; RMO : Rational monotonicity \frac


Uses

The rational consequence relation is non-monotonic, and the relation \theta \vdash \phi is intended to carry the meaning ''theta usually implies phi'' or ''phi usually follows from theta''. In this sense it is more useful for modeling some everyday situations than a monotone consequence relation because the latter relation models facts in a more strict boolean fashion - something either follows under all circumstances or it does not.


Example

The statement ''"If a cake contains sugar then it tastes good"'' implies under a monotone consequence relation the statement ''"If a cake contains sugar and soap then it tastes good."'' Clearly this doesn't match our own understanding of cakes. By asserting ''"If a cake contains sugar then it usually tastes good"'' a rational consequence relation allows for a more realistic model of the real world, and certainly it does not automatically follow that ''"If a cake contains sugar and soap then it usually tastes good."'' Note that if we also have the information ''"If a cake contains sugar then it usually contains butter"'' then we may legally conclude (under CMO) that ''"If a cake contains sugar and butter then it usually tastes good."''. Equally in the absence of a statement such as ''"If a cake contains sugar then usually it contains no soap''" then we may legally conclude from RMO that ''"If the cake contains sugar and soap then it usually tastes good."'' If this latter conclusion seems ridiculous to you then it is likely that you are subconsciously asserting your own preconceived knowledge about cakes when evaluating the validity of the statement. That is, from your experience you know that cakes which contain soap are likely to taste bad so you add to the system your own knowledge such as ''"Cakes which contain sugar do not usually contain soap."'', even though this knowledge is absent from it. If the conclusion seems silly to you then you might consider replacing the word ''soap'' with the word ''eggs'' to see if it changes your feelings.


Example

Consider the sentences: *''Young people are usually happy'' *''Drug abusers are usually not happy'' *''Drug abusers are usually young'' We may consider it reasonable to conclude: *''Young drug abusers are usually not happy'' This would not be a valid conclusion under a monotonic deduction system (omitting of course the word 'usually'), since the third sentence would contradict the first two. In contrast the conclusion follows immediately using the Gabbay-Makinson rules: applying the rule CMO to the last two sentences yields the result.


Consequences

The following consequences follow from the above rules: :;MP :
Modus ponens In propositional logic, ''modus ponens'' (; MP), also known as ''modus ponendo ponens'' (Latin for "method of putting by placing") or implication elimination or affirming the antecedent, is a deductive argument form and rule of inference. ...
\frac ::MP is proved via the rules AND and RWE. :;CON : Conditionalisation \frac :;CC : Cautious Cut \frac ::The notion of Cautious Cut simply encapsulates the operation of conditionalisation, followed by MP. It may seem redundant in this sense, but it is often used in proofs so it is useful to have a name for it to act as a shortcut. :;SCL : Supraclassity \frac ::SCL is proved trivially via REF and RWE.


Rational consequence relations via atom preferences

Let L = \ be a finite language. An atom is a formula of the form \bigwedge_^n p^\epsilon_i (where p^1 = p and p^ = \neg p). Notice that there is a unique valuation which makes any given atom true (and conversely each valuation satisfies precisely one atom). Thus an atom can be used to represent a preference about what we believe ought to be true. Let At^L be the set of all atoms in L. For \theta \in SL, define S_\theta = \. Let \vec = s_1, \ldots , s_m be a sequence of subsets of At^L. For \theta, \phi in SL, let the relation \vdash_\vec be such that \theta \vdash_ \phi if one of the following holds: #S_\theta \cap s_i = \emptyset for each 1 \leq i \leq m #S_\theta \cap s_i \neq \emptyset for some 1 \leq i \leq m and for the least such i, S_\theta \cap s_i \subseteq S_\phi. Then the relation \vdash_\vec is a rational consequence relation. This may easily be verified by checking directly that it satisfies the GM-conditions. The idea behind the sequence of atom sets is that the earlier sets account for the most likely situations such as ''"young people are usually law abiding"'' whereas the later sets account for the less likely situations such as ''"young joyriders are usually not law abiding"''.


Notes

#By the definition of the relation \vdash_\vec, the relation is unchanged if we replace s_2 with s_2 \setminus s_1, s_3 with s_3 \setminus s_2 \setminus s_1 ... and s_m with s_m \setminus \bigcup_^ s_i. In this way we make each s_i disjoint. Conversely it makes no difference to the rcr \vdash_\vec if we add to subsequent s_i atoms from any of the preceding s_i.


The representation theorem

It can be proven that any rational consequence relation on a finite language is representable via a sequence of atom preferences above. That is, for any such rational consequence relation \vdash there is a sequence \vec = s_1, \ldots , s_m of subsets of At^L such that the associated rcr \vdash_\vec is the same relation: \vdash_\vec = \vdash


Notes

#By the above property of \vdash_\vec, the representation of an rcr \vdash need not be unique - if the s_i are not disjoint then they can be made so without changing the rcr and conversely if they are disjoint then each subsequent set can contain any of the atoms of the previous sets without changing the rcr.


References

*{{cite web , first=Lee C.E. , last=Hill , title=A new relationship between Maximum Entropy and the Rational Closure of a Conditional Knowledge Base , date=2002 , publisher=University of Manchester , url=http://oldwww.ma.man.ac.uk/~jeff/theses/lee-hill.ps Logical consequence Binary relations Non-classical logic