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Computational Hermeneutics: Using Computers to Interpret Philosophical Arguments (Abstract)

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Computational Hermeneutics:

Using Computers to Interpret Philosophical Arguments

David Fuenmayor1 and Christoph Benzm¨uller2,1

1

Free University Berlin, Germany

2

University of Luxembourg, Luxembourg

[email protected] - [email protected]

We introduce a method named computational hermeneutics aimed at im-proving the tasks of logical analysis and interpretation of arguments. This method has been developed as a result of reflecting upon previous work on the application of Automated Theorem Proving (ATP) for the formalization and assessment of arguments in metaphysics (e.g. [2, 3, 5]) and is specially suited to the utilization of different kinds of logics (intensional, modal, higher-order, etc.) through the technique of semantic embeddings [1].

Computational hermeneutics has been inspired by Donald Davidson’s theory of radical interpretation [4] and can be seen as an instance of the hypothetico-deductive method which exploits the computing power and usability of modern theorem provers: We work iteratively on an argument by temporarily choosing a logic for formalization; fixing truth-values and inferential relations among its sentences; and then working back and forth on the formalization of its axioms and theorems, by making gradual adjustments while getting real-time feedback about the suitability of our speculations. In this fashion, by engaging in a dialec-tic process of questions and answers –of conjectures and refutations– we work our way towards an adequate logical analysis and interpretation of an argument by circular movements between its parts and the whole (cf. hermeneutic circle).

References

[1] C. Benzm¨uller and L. Paulson. Quantified multimodal logics in simple type theory. Logica Universalis (Special Issue on Multimodal Logics), 7(1):7–20, 2013.

[2] C. Benzm¨uller, L. Weber, and B. Woltzenlogel Paleo. Computer-assisted analysis of the Anderson-H´ajek controversy. Logica Universalis, 11(1):139– 151, 2017.

[3] C. Benzm¨uller and B. Woltzenlogel Paleo. The inconsistency in G¨odel’s on-tological argument: a success story for AI in metaphysics. In S. Kambham-pati, editor, IJCAI 2016, volume 1-3, pages 936–942. AAAI Press, 2016. [4] D. Davidson. Radical interpretation. eng. In Inquiries into Truth and

In-terpretation. Oxford University Press, Sept. 2001. isbn: 9780199246298. [5] D. Fuenmayor and C. Benzm¨uller. Automating emendations of the

ontolog-ical argument in intensional higher-order modal logic. In G. Kern-Isberner, J. F¨urnkranz, and M. Thimm, editors, KI 2017: Advances in Artificial In-telligence, volume 10505 of LNAI, pages 114–127. Springer, 2017.

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