Autoepistemic logic

Summary

The autoepistemic logic is a formal logic for the representation and reasoning of knowledge about knowledge. While propositional logic can only express facts, autoepistemic logic can express knowledge and lack of knowledge about facts.

The stable model semantics, which is used to give a semantics to logic programming with negation as failure, can be seen as a simplified form of autoepistemic logic.

Syntax edit

The syntax of autoepistemic logic extends that of propositional logic by a modal operator  [1] indicating knowledge: if   is a formula,   indicates that   is known. As a result,   indicates that   is known and   indicates that   is not known.

This syntax is used for allowing reasoning based on knowledge of facts. For example,   means that   is assumed false if it is not known to be true. This is a form of negation as failure.

Semantics edit

The semantics of autoepistemic logic is based on the expansions of a theory, which have a role similar to models in propositional logic. While a propositional model specifies which atomic propositions are true or false, an expansion specifies which formulae   are true and which ones are false. In particular, the expansions of an autoepistemic formula   make this determination for every subformula   contained in  . This determination allows   to be treated as a propositional formula, as all its subformulae containing   are either true or false. In particular, checking whether   entails   in this condition can be done using the rules of the propositional calculus. In order for a specification to be an expansion, it must be that a subformula   is entailed if and only if   has been assigned the value true.

In terms of possible world semantics, an expansion of   consists of an S5 model of   in which the possible worlds consist only of worlds where   is true. [The possible worlds need not contain all such consistent worlds; this corresponds to the fact that modal propositions are assigned truth values before checking derivability of the ordinary propositions.] Thus, autoepistemic logic extends S5; the extension is proper, since   and   are tautologies of autoepistemic logic, but not of S5.

For example, in the formula  , there is only a single “boxed subformula”, which is  . Therefore, there are only two candidate expansions, assuming   is true or false, respectively. The check for them being actual expansions is as follows.

  is false : with this assumption,   becomes tautological, as   is equivalent to  , and   is assumed true; therefore,   is not entailed. This result confirms the assumption implicit in   being false, that is, that   is not currently known. Therefore, the assumption that   is false is an expansion.

  is true : together with this assumption,   entails  ; therefore, the initial assumption that is implicit in   being true, i.e., that   is known to be true, is satisfied. As a result, this is another expansion.

The formula   has therefore two expansions, one in which   is not known and one in which   is known. The second one has been regarded as unintuitive, as the initial assumption that   is true is the only reason why   is true, which confirms the assumption. In other words, this is a self-supporting assumption. A logic allowing such a self-support of beliefs is called not strongly grounded to differentiate them from strongly grounded logics, in which self-support is not possible. Strongly grounded variants of autoepistemic logic exist.

Generalizations edit

In uncertain inference, the known/unknown duality of truth values is replaced by a degree of certainty of a fact or deduction; certainty may vary from 0 (completely uncertain/unknown) to 1 (certain/known). In probabilistic logic networks, truth values are also given a probabilistic interpretation (i.e. truth values may be uncertain, and, even if almost certain, they may still be "probably" true (or false).)

See also edit

Notes edit

  1. ^ To clarify, the modal operator   is a medium white square; this is not a browser rendering issue

References edit

  • Gottlob, G. (July 1995). "Translating default logic into standard autoepistemic logic". Journal of the ACM. 42 (4): 711–740. doi:10.1145/210332.210334. S2CID 8441536.
  • Janhunen, T. (1998). "On the intertranslatability of autoepistemic, default and priority logics". In Dix, Jürgen; del Cerro, Luís Fariñas; Furbach, Ulrich (eds.). Logics in Artificial Intelligence: European Workshop, JELIA '98, Dagstuhl, Germany, October 12–15, 1998 : Proceedings. Lecture Notes in Computer Science: Lecture notes in artificial intelligence. Springer. pp. 216–232. ISBN 3540495452.
  • Marek, W.; Truszczyński, M. (July 1991). "Autoepistemic logic". Journal of the ACM. 38 (3): 588–618. doi:10.1145/116825.116836. S2CID 14315565.
  • Moore, R.C. (January 1985). "Semantical considerations on nonmonotonic logic". Artificial Intelligence. 25: 75–94. doi:10.1016/0004-3702(85)90042-6.
  • Niemelä, I. (1988). "Decision procedure for autoepistemic logic". In Lusk, Ewing; Overbeek, Ross (eds.). 9th International Conference on Automated Deduction: Argonne, Illinois, USA, May 23-26, 1988. Proceedings. Lecture Notes in Computer Science. Vol. 310. Springer. pp. 675–684. ISBN 978-3-540-19343-2.