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Single Feature Indicator Systems in the Openbox

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9781))

Abstract

In this paper we describe a simple method for introducing instances of the class of Single Feature Indicator Systems into the Openbox, a framework for constructing heterogeneous proof environments. Single Feature Indicator Systems form a class of representation systems which employ a simple signalling strategy for representing information about their target domain. Using the new method allows Single Feature Indicator Systems to be implemented in the Openbox by describing the representation in a high-level language rather than by programming.

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Notes

  1. 1.

    Videos demonstrating the end-to-end use of the system are available at https://www.youtube.com/playlist?list=PLn4GZI3tktH-mOXaMzcDmDQLYgOZXfkgw.

References

  1. Barker-Plummer, D., Etchemendy, J., Murray, M., Pease, E., Swoboda, N.: Learning to use the openbox: a framework for the implementation of heterogeneous reasoning. In: Cox, P., Plimmer, B., Rodgers, P. (eds.) Diagrams 2012. LNCS, vol. 7352, pp. 3–3. Springer, Heidelberg (2012)

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  2. Shimojima, A., Barker-Plummer, D.: The Barwise-Seligman model of representation systems: a philosophical explication. In: Dwyer, T., Purchase, H., Delaney, A. (eds.) Diagrams 2014. LNCS, vol. 8578, pp. 231–245. Springer, Heidelberg (2014)

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  3. Shimojima, A., Barker-Plummer, D.: A generic approach to digrammatic representation systems: the case of single feature indicator systems. In: Jamnik, M., Uesaka, Y., Elzer Schwartz, S. (eds.) Diagrams 2016. LNCS, vol. 558, pp. 83–97. Springer, Heidelberg (2016)

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  4. Urbas, M., Jamnik, M.: A framework for heterogeneous reasoning in formal and informal domains. In: Dwyer, T., Purchase, H., Delaney, A. (eds.) Diagrams 2014. LNCS, vol. 8578, pp. 277–292. Springer, Heidelberg (2014)

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Correspondence to Dave Barker-Plummer .

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© 2016 Springer International Publishing Switzerland

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Barker-Plummer, D., Murray, M. (2016). Single Feature Indicator Systems in the Openbox. In: Jamnik, M., Uesaka, Y., Elzer Schwartz, S. (eds) Diagrammatic Representation and Inference. Diagrams 2016. Lecture Notes in Computer Science(), vol 9781. Springer, Cham. https://doi.org/10.1007/978-3-319-42333-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-42333-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42332-6

  • Online ISBN: 978-3-319-42333-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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