Abstract
We propose a mechanism for automating discovery of definitions, that, when added to a logic system for which we have a theorem prover, extends it to support an embedding of a new logic system into it. As a result, the synthesized definitions, when added to the prover, implement a prover for the new logic.
As an instance of the proposed mechanism, we derive a Prolog theorem prover for an interesting but unconventional epistemic Logic by starting from the sequent calculus G4IP that we extend with operator definitions to obtain an embedding in intuitionistic propositional logic (IPC). With help of a candidate definition formula generator, we discover epistemic operators for which axioms and theorems of Artemov and Protopopescu’s Intuitionistic Epistemic Logic (IEL) hold and formulas expected to be non-theorems fail.
We compare the embedding of IEL in IPC with a similarly discovered successful embedding of Dosen’s double negation modality, judged inadequate as an epistemic operator. Finally, we discuss the failure of the necessitation rule for an otherwise successful S4 embedding and share our thoughts about the intuitions explaining these differences between epistemic and alethic modalities in the context of the Brouwer-Heyting-Kolmogorov semantics of intuitionistic reasoning and knowledge acquisition.
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Notes
- 1.
Logics stronger than intuitionistic but weaker than classical.
- 2.
Actually infinitely many, as there’s an infinite lattice of intermediate logics between classical and intuitionistic logic.
- 3.
Originally called the LJT calculus in [8]. Restricted here to its key implicational fragment.
- 4.
- 5.
At http://iltp.de.
- 6.
- 7.
In fact, our prover is faster than both fCube and Dyckhoff’s prover on the set of formulas of small size on which our definition induction algorithm will run.
- 8.
Not totally accidentally named, given the way Archimedes expressed his sudden awareness about the volume of water displaced by his immersed body.
References
Gelfond, M.: Strong introspection. In: Proceedings of the Ninth National Conference on Artificial Intelligence - Volume 1. AAAI 1991, pp. 386–391. AAAI Press (1991)
Baral, C., Gelfond, G., Son, T.C., Pontelli, E.: Using answer set programming to model multi-agent scenarios involving agents’ knowledge about other’s knowledge. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Volume 1 - Volume 1. AAMAS 2010, Richland, SC, International Foundation for Autonomous Agents and Multiagent Systems, pp. 259–266 (2010)
Shen, Y.D., Eiter, T.: Evaluating epistemic negation in answer set programming. Artif. Intell. 237(C), 115–135 (2016)
Pearce, David: A new logical characterisation of stable models and answer sets. In: Dix, JĂĽrgen, Pereira, LuĂs Moniz, Przymusinski, Teodor C. (eds.) NMELP 1996. LNCS, vol. 1216, pp. 57–70. Springer, Heidelberg (1997). https://doi.org/10.1007/BFb0023801
Artemov, S.N., Protopopescu, T.: Intuitionistic epistemic logic. Rew. Symb. Logic 9(2), 266–298 (2016)
Dosen, K.: Intuitionistic double negation as a necessity operator. Publications de l’Institut Mathématique, Nouvelle série 35(49), 15–20 (1984)
Glivenko, V.: Sur la logique de M. Brouwer. Bulletin de la Classe des Sciences 14, 225–228 (1928)
Dyckhoff, R.: Contraction-free sequent calculi for intuitionistic logic. J. Symbol. Logic 57(3), 795–807 (1992)
Hudelmaier, J.: A PROLOG Program for Intuitionistic Logic. Universität Tübingen, SNS-Bericht (1988)
Hudelmaier, J.: An O(n log n)-Space Decision Procedure for Intuitionistic Propositional Logic. J. Logic Comput. 3(1), 63–75 (1993)
Tarau, Paul: A combinatorial testing framework for intuitionistic propositional theorem provers. In: Alferes, José Júlio, Johansson, Moa (eds.) PADL 2019. LNCS, vol. 11372, pp. 115–132. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05998-9_8
Ferrari, Mauro., Fiorentini, Camillo, Fiorino, Guido: fCube: an efficient prover for intuitionistic propositional logic. In: Fermüller, Christian G., Voronkov, Andrei (eds.) LPAR 2010. LNCS, vol. 6397, pp. 294–301. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16242-8_21
Fagin, R., Halpern, J.Y.: Belief, awareness, and limited reasoning: preliminary report. In: Proceedings of the 9th International Joint Conference on Artificial Intelligence - Volume 1. IJCAI 1985, San Francisco, CA, USA, pp. 491–501. Morgan Kaufmann Publishers Inc. (1985)
de Bruijn, N.G.: Exact finite models for minimal propositional calculus over a finite alphabet. Technical report 75?WSK?02, Technological University Eindhoven, November 1975
Jongh, D.D., Hendriks, L., de Lavalette, G.R.R.: Computations in fragments of intuitionistic propositional logic. J. Autom. Reasoning 7(4), 537–561 (1991). https://doi.org/10.1007/BF01880328
Statman, R.: Intuitionistic propositional logic is polynomial-space complete. Theor. Comput. Sci. 9, 67–72 (1979)
Egly, U.: A Polynomial translation of propositional S4 into propositional intuitionistic logic (2007)
Goré, R., Thomson, J.: A correct polynomial translation of S4 into intuitionistic logic. J. Symbol. Logic 84(2), 439–451 (2019)
Muggleton, S.: Inductive logic programming. New Gen. Comput. 8(4), 295–318 (1991)
Shapiro, E.Y.: An algorithm that infers theories from facts. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence - Volume 1. IJCAI 1981, San Francisco, CA, USA, pp. 446–451. Morgan Kaufmann Publishers Inc. (1981)
Gelfond, Michael: New semantics for epistemic specifications. In: Delgrande, James P., Faber, Wolfgang (eds.) LPNMR 2011. LNCS (LNAI), vol. 6645, pp. 260–265. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20895-9_29
Kracht, M.: On extensions of intermediate logics by strong negation. J. Philos. Logic 27(1), 49–73 (1998). https://doi.org/10.1023/A:1004222213212
del Cerro, L.F., Herzig, A., Su, E.I.: Epistemic equilibrium logic. In: Yang, Q., Wooldridge, M.J., (eds.) Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, 25–31 July 2015, pp. 2964–2970. AAAI Press (2015)
Acknowledgement
We thank the participants to the EELP’2019 workshop (A forum with no formal proceedings but insightful presentations and lively discussions on epistemic extensions of logic programming systems) and the anonymous reviewers of LOPSTR’2020 for their constructive comments and suggestions.
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Tarau, P. (2021). Synthesis of Modality Definitions and a Theorem Prover for Epistemic Intuitionistic Logic. In: Fernández, M. (eds) Logic-Based Program Synthesis and Transformation. LOPSTR 2020. Lecture Notes in Computer Science(), vol 12561. Springer, Cham. https://doi.org/10.1007/978-3-030-68446-4_17
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