Negation as failure explained

Negation as failure (NAF, for short) is a non-monotonic inference rule in logic programming, used to derive

not~p

(i.e. that

p

is assumed not to hold) from failure to derive

p

. Note that

not~p

can be different from the statement

\negp

of the logical negation of

p

, depending on the completeness of the inference algorithm and thus also on the formal logic system.

Negation as failure has been an important feature of logic programming since the earliest days of both Planner and Prolog. In Prolog, it is usually implemented using Prolog's extralogical constructs.

More generally, this kind of negation is known as weak negation,[1] [2] in contrast with the strong (i.e. explicit, provable) negation.

Planner semantics

In Planner, negation as failure could be implemented as follows:

''if'' (''not'' (''goal'' p)), ''then'' (''assert'' ¬p)which says that if an exhaustive search to prove p fails, then assert ¬p.[3] This states that proposition p shall be assumed as "not true" in any subsequent processing. However, Planner not being based on a logical model, a logical interpretation of the preceding remains obscure.

Prolog semantics

In pure Prolog, NAF literals of the form

not~p

can occur in the body of clauses and can be used to derive other NAF literals. For example, given only the four clauses

p\leftarrowq\landnot~r

q\leftarrows

q\leftarrowt

t\leftarrow

NAF derives

not~s

,

not~r

and

p

as well as

t

and

q

.

Completion semantics

The semantics of NAF remained an open issue until 1978, when Keith Clark showed that it is correct with respect to the completion of the logic program, where, loosely speaking, "only" and

\leftarrow

are interpreted as "if and only if", written as "iff" or "

\equiv

".

For example, the completion of the four clauses above is

p\equivq\landnot~r

q\equivs\lort

t\equivtrue

r\equivfalse

s\equivfalse

The NAF inference rule simulates reasoning explicitly with the completion, where both sides of the equivalence are negated and negation on the right-hand side is distributed down to atomic formulae. For example, to show

not~p

, NAF simulates reasoning with the equivalences

not~p\equivnot~q\lorr

not~q\equivnot~s\landnot~t

not~t\equivfalse

not~r\equivtrue

not~s\equivtrue

In the non-propositional case, the completion needs to be augmented with equality axioms, to formalize the assumption that individuals with distinct names are distinct. NAF simulates this by failure of unification. For example, given only the two clauses

p(a)\leftarrow

p(b)\leftarrowt

NAF derives

not~p(c)

.

The completion of the program is

p(X)\equivX=a\lorX=b

augmented with unique names axioms and domain closure axioms.

The completion semantics is closely related both to circumscription and to the closed world assumption.

Autoepistemic semantics

The completion semantics justifies interpreting the result

not~p

of a NAF inference as the classical negation

\negp

of

p

. However, in 1987, Michael Gelfond showed that it is also possible to interpret

not~p

literally as "

p

can not be shown", "

p

is not known" or "

p

is not believed", as in autoepistemic logic. The autoepistemic interpretation was developed further by Gelfond and Lifschitz in 1988, and is the basis of answer set programming.

The autoepistemic semantics of a pure Prolog program P with NAF literals is obtained by "expanding" P with a set of ground (variable-free) NAF literals Δ that is stable in the sense that

In other words, a set of assumptions Δ about what can not be shown is stable if and only if Δ is the set of all sentences that truly can not be shown from the program P expanded by Δ. Here, because of the simple syntax of pure Prolog programs, "implied by" can be understood very simply as derivability using modus ponens and universal instantiation alone.

A program can have zero, one or more stable expansions. For example,

p\leftarrownot~p

has no stable expansions.

p\leftarrownot~q

has exactly one stable expansion

p\leftarrownot~q

q\leftarrownot~p

has exactly two stable expansions and

The autoepistemic interpretation of NAF can be combined with classical negation, as in extended logic programming and answer set programming. Combining the two negations, it is possible to express, for example

\negp\leftarrownot~p

(the closed world assumption) and

p\leftarrownot~\negp

(

p

holds by default).

References

External links

Notes and References

  1. M. . Bílková . A. . Colacito . Proof Theory for Positive Logic with Weak Negation . . 108 . 4. 649–686 . 2020 . 10.1007/s11225-019-09869-y . 1907.05411 . 195886568 .
  2. Book: Wagner, G. . Web Rules Need Two Kinds of Negation . https://oxygen.informatik.tu-cottbus.de/publications/wagner/WebRules2Neg.pdf . F. . Bry . N. . Henze . J. . Maluszynski . Principles and Practice of Semantic Web Reasoning. PPSW3 2003 . Lecture Notes in Computer Science . Springer . Lecture Notes in Computer Science . 2901 . 2003 . 978-3-540-24572-8 . 33–50 . 10.1007/978-3-540-24572-8_3.
  3. Book: Clark, Keith . Logic and Data Bases . . 1978 . 293–322 . Negation as a failure . http://www.doc.ic.ac.uk/~klc/NegAsFailure.pdf . 978-1-4684-3384-5 . 10.1007/978-1-4684-3384-5_11.