A semiotic analysis of multiple systems of logic: using tagmemic theory to assess the usefulness and limitations of formal logics, and to produce a mathematical lattice model including multiple systems of logic

Author:

Poythress Vern1

Affiliation:

1. Westminster Theological Seminary , Philadelphia , PA , USA

Abstract

Abstract Tagmemic theory as a semiotic theory can be used to analyze multiple systems of logic and to assess their strengths and weaknesses. This analysis constitutes an application of semiotics and also a contribution to understanding of the nature of logic within the context of human meaning. Each system of logic is best adapted to represent one portion of human rationality. Acknowledging this correlation between systems and their targets helps explain the usefulness of more than one system. Among these systems, the two-valued system of classical logic takes its place. All the systems of logic can be incorporated into a complex mathematical model that has a place for each system and that represents a larger whole in human reasoning. The model can represent why tight formal systems of logic can be applied in some contexts with great success, but in other contexts are not directly applicable. The result suggests that human reasoning is innately richer than any one formal system of logic.

Publisher

Walter de Gruyter GmbH

Subject

Literature and Literary Theory,Linguistics and Language,Language and Linguistics

Reference33 articles.

1. Aristotle. 1938. Categories; On interpretation; Prior analytics. Cambridge: Harvard University Press.

2. Bobzien, Susanne. 2016. Ancient logic. In Edward N. Zalta (ed.), The Stanford encyclopedia of philosophy, Winter 2016 edn. https://plato.stanford.edu/archives/win2016/entries/logic-ancient (accessed 19 March 2020).

3. Bridges, Douglas & Erik Palmgren. 2015. Constructive mathematics. In Edward N. Zalta (ed.), The Stanford encyclopedia of philosophy, Summer 2018 edn. https://plato.stanford.edu/archives/sum2018/entries/mathematics-constructive (accessed 28 March 2020).

4. Cintula, Petr, Christian G. Fermüller & Carles Noguera. 2017. Fuzzy logic. In Edward N. Zalta (ed.), The Stanford encyclopedia of philosophy, Fall 2017 edn. https://plato.stanford.edu/archives/fall2017/entries/logic-fuzzy (accessed 18 March 2020).

5. Copi, Irving M. 1979. Symbolic logic, 5th edn. New York: Macmillan.

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