Nothing Special   »   [go: up one dir, main page]

Skip to main content

Polynomial Approximation to Well-Founded Semantics for Logic Programs with Generalized Atoms: Case Studies

  • Conference paper
  • First Online:
Logic-Based Program Synthesis and Transformation (LOPSTR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8981))

  • 547 Accesses

Abstract

The well-founded semantics of normal logic programs has two main utilities, one being an efficiently computable semantics with a unique intended model, and the other serving as polynomial time constraint propagation for the computation of answer sets of the same program. When logic programs are generalized to support constraints of various kinds, the semantics is no longer tractable, which makes the second utility doubtful. This paper considers the possibility of tractable but incomplete methods, which in general may miss information in the computed result, but never generates wrong conclusions. For this goal, we first formulate a well-founded semantics for logic programs with generalized atoms, which generalizes logic programs with arbitrary aggregates/constraints/dl-atoms. As a case study, we show that the method of removing non-monotone dl-atoms for the well-founded semantics by Eiter et al. actually falls into this category. We also present a case study for logic programs with standard aggregates.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    This assumes that the satisfaction of a generalized atom by one interpretation can be determined in polynomial time.

  2. 2.

    Generalized atoms in [2] are essentially conjunctions of generalized atoms defined here.

  3. 3.

    Domain is needed primarily for complexity measures. It is also indirectly involved in the notion of satisfaction, which gives the semantics of a generalized atom.

  4. 4.

    This is to be consistent with the notion of an extension of a partial interpretation introduced in [11].

  5. 5.

    For simplicity, we assume that equality does not appear in rules.

  6. 6.

    This example was originally provided by Yisong Wang.

  7. 7.

    http://www.cs.uni-potsdam.de/clasp/.

References

  1. Alviano, M., Calimeri, F., Faber, W., Leone, N., Perri, S.: Unfounded sets and well-founded semantics of answer set programs with aggregates. J. Artif. Intell. Res. 42, 487–527 (2011)

    MATH  MathSciNet  Google Scholar 

  2. Alviano, M., Faber, W.: The complexity boundary of answer set programming with generalized atoms under the FLP semantics. In: Cabalar, P., Son, T.C. (eds.) LPNMR 2013. LNCS, vol. 8148, pp. 67–72. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  3. Artale, A., Calvanese, D., Kontchakov, R., Zakharyaschev, M.: The DL-Lite family and relations. J. Artif. Intell. Res. 36, 1–69 (2009)

    MATH  MathSciNet  Google Scholar 

  4. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P.F. (eds.): The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  5. Baral, C.: Knowledge Representation, Reasoning and Declarative Problem Solving. Cambridge University Press, New York (2003)

    Book  MATH  Google Scholar 

  6. Bordeaux, L., Hamadi, Y., Zhang, L.: Propositional satisfiability and constraint programming: a comparative survey. ACM Comput. Surv. 38(4), 1–54 (2006)

    Article  Google Scholar 

  7. Eiter, T., Fink, M., Krennwallner, T., Redl, C., Schüller, P.: Efficient hex-program evaluation based on unfounded sets. J. Artif. Intell. Res. (JAIR) 49, 269–321 (2014)

    MATH  Google Scholar 

  8. Eiter, T., Ianni, G., Lukasiewicz, T., Schindlauer, R., Tompits, H.: Combining answer set programming with description logics for the semantic web. Artif. Intell. 172(12–13), 1495–1539 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  9. Eiter, T., Ianni, G., Schindlauer, R., Tompits, H.: A uniform integration of higher-order reasoning and external evaluations in answer-set programming. In: IJCAI, pp. 90–96 (2005)

    Google Scholar 

  10. Eiter, T., Lukasiewicz, T., Ianni, G., Schindlauer, R.: Well-founded semantics for description logic programs in the semantic web. ACM Trans. Comput. Log. 12(2) (2011), Article 3

    Google Scholar 

  11. Faber, W.: Unfounded sets for disjunctive logic programs with arbitrary aggregates. In: Baral, C., Greco, G., Leone, N., Terracina, G. (eds.) LPNMR 2005. LNCS (LNAI), vol. 3662, pp. 40–52. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  12. Faber, W., Pfeifer, G., Leone, N., Dell’Armi, T., Ielpa, G.: Design and implementation of aggregate functions in the DLV system. TPLP 8(5–6), 545–580 (2008)

    MATH  MathSciNet  Google Scholar 

  13. Knorr, M., Júlio Alferes, J., Hitzler, P.: Local closed world reasoning with description logics under the well-founded semantics. Artif. Intell. 175(9–10), 1528–1554 (2011)

    Article  MATH  Google Scholar 

  14. Liu, G., Goebel, R., Janhunen, T., Niemelä, I., You, J.-H.: Strong equivalence of logic programs with abstract constraint atoms. In: Delgrande, J.P., Faber, W. (eds.) LPNMR 2011. LNCS, vol. 6645, pp. 161–173. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. Liu, G., You, J.-H.: Lparse programs revisited: semantics and representation of aggregates. In: Garcia de la Banda, M., Pontelli, E. (eds.) ICLP 2008. LNCS, vol. 5366, pp. 347–361. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  16. Liu, L., Pontelli, E., Cao Son, T., Truszczyński, M.: Logic programs with abstract constraint atoms. Artif. Intell. 174, 295–315 (2010)

    Article  MATH  Google Scholar 

  17. Marek, V.W., Truszczynski, M: Logic programs with abstract constraint atoms. In: Proceedings of AAAI-04, pp. 86–91 (2004)

    Google Scholar 

  18. Pelov, N., Denecker, M., Bruynooghe, M.: Well-founded and stable semantics of logic programs with aggregates. Theory Pract. Log. Program. 7, 301–353 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  19. Rossi, F., Van Beek, P., Walsh, T. (eds.): Global constraints. Handbook of Constraint Programming. Elsevier, New York (2006)

    Google Scholar 

  20. Simons, P., Niemel\(\ddot{a}\), I., Soininen, T.: Extending and implementing the stable model semantics. Artif. Intell. 138(1–2), 181–234 (2002)

    Google Scholar 

  21. Cao Son, T., Pontelli, E.: A constructive semantic characterization of aggregates in answer set programming. TPLP 7(3), 355–375 (2007)

    MATH  Google Scholar 

  22. Pontelli, E., Huy Tu, P.: Answer sets for logic programs with arbitrary abstract constraint atoms. J. Artif. Intell. Res. 29, 353–389 (2007)

    MATH  Google Scholar 

  23. Tarski, A.: A lattice-theoretical fixpoint theorem and its applications. Pac. J. Math. 5(2), 285–309 (1955)

    Article  MATH  MathSciNet  Google Scholar 

  24. Van Gelder, A., Ross, K.A., Schlipf, J.S.: The well-founded semantics for general logic programs. J. ACM 38(3), 620–650 (1991)

    MATH  Google Scholar 

  25. Wang, Y., Lin, F., Zhang, M., You, J.-H.: A well-founded semantics for basic logic programs with arbitrary abstract constraint atoms. In: AAAI (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Md. Solimul Chowdhury .

Editor information

Editors and Affiliations

A Appendix: Proof of Theorem 1

A Appendix: Proof of Theorem 1

Proof

We prove the claim by induction on the construction of \(\textit{lfp}(W_{\pi (\textit{KB})})\) and \(\textit{lfp}(W_{\textit{KB}})\).

  1. (a)

    Base: \(W^0_{\pi (\textit{KB})}|_\tau = W^0_\textit{KB}= \emptyset \).

  2. (b)

    Step: Assume, for all \(k \ge 0\), \(W^k_{\pi (\textit{KB})}|_\tau \subseteq W^k_\textit{KB}\), and prove \(W^{k+1}_{\pi (\textit{KB})}|_\tau \subseteq W^{k+1}_\textit{KB}\). By definition, we know

$$\begin{aligned}&W^{k+1}_{\pi (\textit{KB})} |_\tau = T_{\pi (\textit{KB})} (W^k_{\pi (\textit{KB})}) |_\tau \cup \lnot U_{\pi (\textit{KB})}(W^k_{\pi (\textit{KB})})|_\tau \end{aligned}$$
(3)
$$\begin{aligned}&W^{k+1}_\textit{KB}= T_\textit{KB}(W^k_\textit{KB}) \cup \lnot . U_\textit{KB}(W^k_\textit{KB}) \end{aligned}$$
(4)

To prove \(W^{k+1}_{\pi (\textit{KB})}|_\tau \subseteq W^{k+1}_\textit{KB}\), it is sufficient to prove both of

$$\begin{aligned}&T_{\pi (\textit{KB})} (W^k_{\pi (\textit{KB})}) |_\tau \subseteq T_\textit{KB}(W^k_\textit{KB})\end{aligned}$$
(5)
$$\begin{aligned}&U_{\pi (\textit{KB})}(W^k_{\pi (\textit{KB})})|_\tau \subseteq U_\textit{KB}(W^k_\textit{KB}) \end{aligned}$$
(6)

Below, let us assume that at most one dl-atom may appear in a rule. The proof can be generalized to arbitrary rules by the same argument, for the transformation of one dl-atom at a time.

  1. (i)

    We first prove (5). Let \(a \in T_{\pi (\textit{KB})} (W^k_{\pi (\textit{KB})}) |_\tau \). By definition, \(\exists r' \in \pi (P)\) such that \(B(r')\) is persistently true under \(W^k_{\pi (\textit{KB})}\). WLOG, assume for some \(r \in P\), \(\pi (r) = \{r',r''\}\), as illustrated in (7) below, in which a dl-atom appears positively, which is replaced by rules in (7) of \(\pi (r)\).

    $$\begin{aligned}&r:~ a \leftarrow \ldots , DL [ \ldots , S_j {\cap \!\!\!\!-} p_j , \ldots ; Q](e), \ldots \end{aligned}$$
    (7)
    $$\begin{aligned}&r':a \leftarrow \ldots , DL [ \ldots , S_j {\cup \!\!\!\!-} \bar{p_j}, \ldots ; Q](\mathbf{e}), \ldots \nonumber \\&r'':\bar{p_j} (\mathbf{e}) \leftarrow \lnot DL [S^{\prime }_j \uplus {p_j}; S^{\prime }](\mathbf{e}) \end{aligned}$$
    (8)

    Let \(D\) denote the dl-atom in (7), and \(D'\) the corresponding dl-atom in (7). If the operator \({\cap \!\!\!\!-}\) does not occur in \(D\), then trivially \(B(r)\) is persistently true under \(W^k_\textit{KB}\), and thus \(a \in T_\textit{KB}(W^k_\textit{KB})\).

    Otherwise, since \(B(r')\) is persistently true under \(W^k_{\pi (\textit{KB})}\), we have \(D'\) is persistently true under \(W^k_{\pi (\textit{KB})}\), and by the fact that \(D'\) is monotone, we have \(W^k_{\pi (\textit{KB})} \models _L D'\). The atom \(\bar{p_j} (\mathbf{e})\) may or may not play a role in the entailment \(L\cup \bigcup _{i=1}^m D'_i \models Q(\mathbf{e})\) (cf. Definition (6)). The proof is trivial if it does not. Otherwise, \(\bar{p_j} (\mathbf{e})\) is well-founded already w.r.t. \(W^k_{\pi (\textit{KB})}\), and by the last rule in (7), \(p_j(\mathbf{e})\) is unfounded w.r.t. \(W^{k'}_{\pi (\textit{KB})}\), for some \(k' < k\). By induction hypothesis, we know \(W^{k'}_{\pi (\textit{KB})} |_\tau \subseteq W^{k'}_\textit{KB}\), thus \(p_j(\mathbf{e})\) is unfounded w.r.t. \(W^k_\textit{KB}\). It follows \(D\) is persistently true under \(W^k_\textit{KB}\), and by the assumption that \(D\) is the only dl-atom in (7) and that \(B(r')\) is persistently true under \(W^k_{\pi (\textit{KB})}\), we have \(B(r)\) is persistently true under \(W^k_\textit{KB}\). Thus, \(a \in T_\textit{KB}(W^k_\textit{KB})\).

    If \(D\) appears negatively in rule body, the proof is similar because, given a partial interpretation \(S\), \(\lnot D\) is persistently true under \(S\) iff \(D\) is persistently false under \(S\), and we just need to swap well-founded and unfounded in the argument above.

  2. (ii)

    To prove (6), assume that \(a \in U_{\pi (\textit{KB})} (W^k_{\pi (\textit{KB})}) |_\tau \) and we show \(a \in U_\textit{KB}(W^k_\textit{KB})\). Consider the case of (7). WLOG, assume that \(r\) is the only rule in \(P\) with \(a\) in the head. If the fact \(a \in U_{\pi (\textit{KB})} (W^k_{\pi (\textit{KB})})\) is independent of \(\bar{p_j}(\mathbf{e})\), the proof is trivial. Otherwise, that \(a \in U_{\pi (\textit{KB})} (W^k_{\pi (\textit{KB})})\) is because \(D'\) is persistently false under \(\lnot . U' \cup W^k_{\pi (\textit{KB})}\), where \(U'\) is the greatest unfounded set relative to \(W^k_{\pi (\textit{KB})}\). This implies that \(\bar{p_j}(\mathbf{e})\) must be unfounded w.r.t. \(W^k_{\pi (\textit{KB})}\), and it follows that \(p_j(\mathbf{e})\) is well-founded already w.r.t. \(W^{k'}_{\pi (\textit{KB})}\), for some \(k' < k\). Then, by induction hypothesis, we have that \(p_j(\mathbf{e})\) is well-founded w.r.t. \(W^k_\textit{KB}\), which implies that \(B(r)\) is persistently false under \(\lnot . U \cup W^k_\textit{KB}\), where \(U\) is the greatest unfounded set w.r.t. \(W^k_\textit{KB}\). It follows \(a \in U_\textit{KB}(W^k_\textit{KB})\). The proof for the case where a dl-atom appears negatively in rule body is similar.

Hence, the proof is completed. \(\square \)

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Chowdhury, M.S., Liu, F., Chen, W., Karimi, A., You, JH. (2015). Polynomial Approximation to Well-Founded Semantics for Logic Programs with Generalized Atoms: Case Studies. In: Proietti, M., Seki, H. (eds) Logic-Based Program Synthesis and Transformation. LOPSTR 2014. Lecture Notes in Computer Science(), vol 8981. Springer, Cham. https://doi.org/10.1007/978-3-319-17822-6_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-17822-6_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17821-9

  • Online ISBN: 978-3-319-17822-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics