Skip to main content

Modal Rules: Extending Defeasible Logic with Modal Operators

  • Conference paper
  • First Online:
Rules and Reasoning (RuleML+RR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11092))

Included in the following conference series:

  • 774 Accesses

Abstract

In this paper we present a general methodology to extend Defeasible Logic with modal operators. We motivate the reasons for this type of extension and we argue that the extension will allow for a robust knowledge framework in different application areas.

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

Access this chapter

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

Notes

  1. 1.

    For example the modal logic of provability where the interpretation of \(\Box \) as the provability predicate of Peano Arithmetics forces a one to one mapping.

  2. 2.

    In addition to the aspects we discuss here, we would like to point out that it has been argued [27, 29] that deontic logic is better than a predicate based representation of obligations and permissions when the possibility of norm violation is kept open. As we have argued elsewhere [20] a logic of violation is essential for the representation of contracts where rules about violations are frequent. Obviously this argument only proves that modal operators are superior to deontic modalities, but we are confident that the argument can be extended to other modal notions.

  3. 3.

    To be precise contradictions can be obtained from the monotonic part of a defeasible theory, i.e., from facts and strict rules.

  4. 4.

    Notice that a strict rule can be defeated only when its antecedent is defeasibly provable.

  5. 5.

    The language can be extended to deal with other notions. For example to model agents, we have to include a (finite) set of agents, and then the modal operators can be parameterised with the agents. For a logic of action or planning, it might be appropriate to add a set of atomic actions/plans, and so on depending on the intended applications.

  6. 6.

    A modal operator \(\Box _i\) is reflexive iff the truth of \(\Box _i\phi \) implies the truth of \(\phi \). In other words \(\Box _i\) is reflexive when we have the modal axiom \(\Box _i\phi \rightarrow \phi \).

  7. 7.

    All the coherency results stated in this paper are a consequence of using the principle of strong negation to define the proof conditions. The principle mandates that the conditions for proof tags \(+\#\) and \(-\#\) are the strong negation of each other, where the strong negation transforms conjunctions in disjunctions, disjunctions in conjunctions, existential in universal, universal in existential, conditions for a tag \(-@\) in \(+@\) and conditions for \(+@\) in \(-@\). [17] proves that if the proof conditions are defined using such a principle then the corresponding logic is coherent.

  8. 8.

    The proofs of these results as well as that of Propositions 3 and 4 are modifications and generalisation of the proofs given in [21].

  9. 9.

    Notice that the ‘seriality’ axiom \(\Box \phi \rightarrow \Diamond \phi \) more generally corresponds to the ‘consistency’ of the modal operator. Given the interpretation of the modal operators given in modal logic as derivability in DL and the consistency of DL, this reading is appropriate for the present context.

  10. 10.

    Here we will ignore all temporal aspects and we will assume that the sequence of actions is done in the correct order.

  11. 11.

    This algorithm outputs \(+\partial \); \(-\partial \) can be computed by an algorithm similar to this with the “dual actions”. For \(+\Delta \) we have just to consider similar constructions where we examine only the first parts of step 1 and 2. \(-\Delta \) follows from \(+\Delta \) by taking the dual actions.

References

  1. Antoniou, G., Bikakis, A.: DR-Prolog: a system for defeasible reasoning with rules and ontologies on the semantic web. IEEE Trans. Knowl. Data Eng. 19(2), 233–245 (2007)

    Article  Google Scholar 

  2. Antoniou, G., Billington, D., Governatori, G., Maher, M.J.: On the modeling and analysis of regulations. In: Proceedings of the Australian Conference Information Systems, pp. 20–29 (1999)

    Google Scholar 

  3. Antoniou, G., Billington, D., Governatori, G., Maher, M.J.: Representation results for defeasible logic. ACM Trans. Comput. Logic 2(2), 255–287 (2001)

    Article  MathSciNet  Google Scholar 

  4. Antoniou, G., Billington, D., Governatori, G., Maher, M.J., Rock, A.: A family of defeasible reasoning logics and its implementation. In: Horn, W. (ed.) ECAI 2000, Proceedings of the 14th European Conference on Artificial Intelligence, pp. 459–463. IOS Press, Amsterdam (2000)

    Google Scholar 

  5. Antoniou, G., Dimaresis, N., Governatori, G.: A modal and deontic defeasible reasoning system for modelling policies and multi-agent systems. Expert Syst. Appl. 36(2), 4125–4134 (2009)

    Article  Google Scholar 

  6. Bassiliades, N., Antoniou, G., Vlahavas, I.: A defeasible logic reasoner for the semantic web. Int. J. Semant. Web Inf. Syst. (IJSWIS) 2(1), 1–41 (2006)

    Article  Google Scholar 

  7. Broersen, J., Dastani, M., Hulstijn, J., van der Torre, L.: Goal generation in the BOID architecture. Cogn. Sci. Q. 2(3–4), 428–447 (2002)

    Google Scholar 

  8. Calardo, E., Governatori, G., Rotolo, A.: Sequence semantics for modelling reason-based preferences. Fundamenta Informaticae 158, 217–238 (2018)

    Article  MathSciNet  Google Scholar 

  9. Dastani, M., Governatori, G., Rotolo, A., van der Torre, L.: Programming cognitive agents in defeasible logic. In: Sutcliffe, G., Voronkov, A. (eds.) LPAR 2005. LNCS (LNAI), vol. 3835, pp. 621–636. Springer, Heidelberg (2005). https://doi.org/10.1007/11591191_43

    Chapter  MATH  Google Scholar 

  10. Gelati, J., Governatori, G., Rotolo, A., Sartor, G.: Normative autonomy and normative co-ordination: declarative power, representation, and mandate. Artif. Intell. Law 12(1–2), 53–81 (2004)

    Article  Google Scholar 

  11. Governatori, G.: Representing business contracts in RuleML. Int. J. Cooper. Inf. Syst. 14(2–3), 181–216 (2005)

    Article  Google Scholar 

  12. Governatori, G.: Burden of compliance and burden of violations. In: Rotolo, A. (ed.) 28th Annual Conference on Legal Knowledge and Information Systems, Frontieres in Artificial Intelligence and Applications, pp. 31–40. IOS Press, Amsterdam (2015)

    Google Scholar 

  13. Governatori, G.: Thou Shalt is not you will. In: Atkinson, K. (ed.) Proceedings of the Fifteenth International Conference on Artificial Intelligence and Law, pp. 63–68. ACM, New York (2015)

    Google Scholar 

  14. Governatori, G., Maher, M.J.: Annotated defeasible logic. Theor. Pract. Logic Programm. 17(5–6), 819–836 (2017)

    Article  MathSciNet  Google Scholar 

  15. Governatori, G., Olivieri, F., Rotolo, A., Scannapieco, S.: Computing strong and weak permissions in defeasible logic. J. Philos. Logic 42(6), 799–829 (2013)

    Article  MathSciNet  Google Scholar 

  16. Governatori, G., Olivieri, F., Scannapieco, S., Rotolo, A., Cristani, M.: The rational behind the concept of goal. Theor. Pract. Logic Programm. 16(3), 296–324 (2016)

    Article  Google Scholar 

  17. Governatori, G., Padmanabhan, V., Rotolo, A., Sattar, A.: A defeasible logic for modelling policy-based intentions and motivational attitudes. Logic J. IGPL 17(3), 227–265 (2009)

    Article  MathSciNet  Google Scholar 

  18. Governatori, G., Pham, D.H.: DR-CONTRACT: an architecture for e-contracts in defeasible logic. Int. J. Bus. Process Integr. Manag. 4(3), 187–199 (2009)

    Article  Google Scholar 

  19. Governatori, G., Rotolo, A.: Defeasible logic: agency, intention and obligation. In: Lomuscio, A., Nute, D. (eds.) DEON 2004. LNCS (LNAI), vol. 3065, pp. 114–128. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-25927-5_8

    Chapter  MATH  Google Scholar 

  20. Governatori, G., Rotolo, A.: Logic of violations: a Gentzen systems for dealing with contrary-to-duty obligations. Australas. J. Logic 3, 193–215 (2005)

    MATH  Google Scholar 

  21. Governatori, G., Rotolo, A.: BIO logical agents: norms, beliefs, intentions in defeasible logic. J. Autonom. Agents Multi Agent Syst. 17(1), 36–69 (2008)

    Article  Google Scholar 

  22. Governatori, G., Rotolo, A.: A computational framework for institutional agency. Artif. Intell. Law 16(1), 25–52 (2008)

    Article  Google Scholar 

  23. Governatori, G., Rotolo, A.: A conceptually rich model of business process compliance. In: Link, S., Ghose, A. (eds.) 7th Asia-Pacific Conference on Conceptual Modelling, CRPIT, vol. 110, pp. 3–12. ACS (2010)

    Google Scholar 

  24. Governatori, G., Rotolo, A.: Norm compliance in business process modeling. In: Dean, M., Hall, J., Rotolo, A., Tabet, S. (eds.) RuleML 2010. LNCS, vol. 6403, pp. 194–209. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16289-3_17

    Chapter  Google Scholar 

  25. Governatori, G., Rotolo, A., Calardo, E.: Possible world semantics for defeasible deontic logic. In: Ågotnes, T., Broersen, J., Elgesem, D. (eds.) DEON 2012. LNCS (LNAI), vol. 7393, pp. 46–60. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31570-1_4

    Chapter  MATH  Google Scholar 

  26. Governatori, G., Rotolo, A., Sartor, G.: Temporalised normative positions in defeasible logic. In: 10th International Conference on Artificial Intelligence and Law (ICAIL05), pp. 25–34. ACM Press (2005)

    Google Scholar 

  27. Herrestad, H.: Norms and formalization. In: Proceedings of the 3rd International Conference on Artificial Intelligence and Law, ICAIL 1991, pp. 175–184. ACM Press (1991)

    Google Scholar 

  28. Hintikka, J.: Knowledge and Belief. Cornell University Press, Ithaca (1962)

    MATH  Google Scholar 

  29. Jones, A.J.I., Sergot, M.: On the characterization of law and computer systems: the normative systems perspective. In: Meyer, J.-J.C., Wieringa, R.J. (eds.) Deontic Logic in Computer Science: Normative System Specification, pp. 275–307. Wiley (1993)

    Google Scholar 

  30. Jones, A.J.I., Sergot, M.: A formal characterisation of institutionalised power. J. IGPL 4(3), 429–445 (1996)

    Article  MathSciNet  Google Scholar 

  31. Kontopoulos, E., Bassiliades, N., Governatori, G., Antoniou, G.: A modal defeasible reasoner of deontic logic for the semantic web. Int. J. Semant. Web Inf. Syst. 7(1), 18–43 (2011)

    Article  Google Scholar 

  32. Kraus, S., Lehmann, D., Magidor, M.: Nonmonotonic reasoning, preferential models and cumulative logics. Artif. Intell. 44, 167–207 (1990)

    Article  MathSciNet  Google Scholar 

  33. Kripke, S.A.: A completness theorem in modal logic. J. Symbolic Logic 24, 1–14 (1959)

    Article  MathSciNet  Google Scholar 

  34. Lam, H.-P., Governatori, G.: The making of SPINdle. In: Governatori, G., Hall, J., Paschke, A. (eds.) RuleML 2009. LNCS, vol. 5858, pp. 315–322. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04985-9_29

    Chapter  Google Scholar 

  35. Lee, R.M.: A logic model for electronic contracting. Decis. Support Syst. 4, 27–44 (1988)

    Article  Google Scholar 

  36. Lemmon, E.J.: Is there only one correct system of modal logic? In: Proceedings of the Aristotelian Society. Supplementary Volume, vol. XXXIII, pp. 23–40. Harrison & Sons, London (1959)

    Google Scholar 

  37. Lewis, C.I.: A Survey of Symbolic Logic. University of California, Berkley (1918)

    Google Scholar 

  38. Lewis, C.I., Langford, C.H.L: Symbolic Logic. Dover, New York (1932). 2nd edn. (1959)

    Google Scholar 

  39. Maher, M.: Propositional defeasible logic has linear complexity. Theor. Pract. Logic Programm. 1(6), 691–711 (2001)

    Article  MathSciNet  Google Scholar 

  40. Maher, M.J., Rock, A., Antoniou, G., Billington, D., Miller, T.: Efficient defeasible reasoning systems. Int. J. Artif. Intell. Tools 10(4), 483–501 (2001)

    Article  Google Scholar 

  41. Makinson, D., van der Torre, L.: Input/output logics. J. Philos. Logic 29(4), 383–408 (2000)

    Article  MathSciNet  Google Scholar 

  42. Nute, D.: Defeasible logic. In: Handbook of Logic in Artificial Intelligence and Logic Programming, vol. 3, pp. 353–395. Oxford University Press, Oxford (1994)

    Google Scholar 

  43. Nute, D.: Norms, priorities and defeasibility. In: McNamara, P., Prakken, H. (eds.) Norms, Logics and Information Systems. New Studies in Deontic Logic, pp. 83–100. IOS Press, Amsterdam (1998)

    Google Scholar 

  44. Parent, X., van der Torre, L.: Detachment in normative systems: examples, inference patterns, properties. IFCoLog J. Logic Appl. 4(9), 2295–3038 (2017)

    Google Scholar 

  45. Parent, X., van der Torre, L.: The pragmatic oddity in norm-based deontic logics. In: Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, ICAIL 2017, London, United Kingdom, 12–16 June 2017, pp. 169–178 (2017)

    Google Scholar 

  46. Scott, D.: Advice in modal logic. In: Lambert, K. (ed.) Philos. Probl. Logic, pp. 143–173. Reidel, Dordrecht (1970)

    Chapter  Google Scholar 

  47. von Wright, G.H.: Deontic logic. Mind 60, 1–15 (1951)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guido Governatori .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Governatori, G. (2018). Modal Rules: Extending Defeasible Logic with Modal Operators. In: Benzmüller, C., Ricca, F., Parent, X., Roman, D. (eds) Rules and Reasoning. RuleML+RR 2018. Lecture Notes in Computer Science(), vol 11092. Springer, Cham. https://doi.org/10.1007/978-3-319-99906-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99906-7_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99905-0

  • Online ISBN: 978-3-319-99906-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics