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Formalizing Cognitive Acceptance of Arguments: Durum Wheat Selection Interdisciplinary Study

Abstract

In this paper we present an interdisciplinary approach that concerns the problem of argument acceptance in an agronomy setting. We propose a computational cognitive model for argument acceptance based on the dual model system in cognitive psychology. We apply it in an agronomy setting within a French national project on durum wheat.

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Fig. 1

Notes

  1. http://www.agence-nationale-recherche.fr/?Projet=ANR-13-ALID-0002.

  2. In Calì et al. (2012) they are called “Tuple Generating Dependencies” (TGD) clauses.

  3. We assume here that the effort of exploration is somewhat included in the cognitive effort associated to the rule, but in further research a statistical approach could be used: in a reasoning path the cost of exploration could take into account the number of all the possible formulas (with their different possible instantiations) that could apply at each step.

  4. All details about the Durum wheat base, as well as ways of downloading and using it can be found at http://www.lirmm.fr/~arioua/dkb/.

  5. Please note that for \(ca \in \,[22,33[\), we have both acceptable \(_{\kappa ,ca}(arg)\) and rejectable \(_{\kappa ,ca}(arg)\).

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Acknowledgements

We would like to express our uppermost gratitude to Gabriele Kern-Isberner and the anonymous reviewers for their extremely helpful comments and remarks. We would like to thank as well Patrice Buche for his help regarding the French ANR DURDUR project.

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Correspondence to Florence Dupin de Saint-Cyr.

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Bisquert, P., Croitoru, M., Dupin de Saint-Cyr, F. et al. Formalizing Cognitive Acceptance of Arguments: Durum Wheat Selection Interdisciplinary Study. Minds & Machines 27, 233–252 (2017). https://doi.org/10.1007/s11023-017-9424-7

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  • DOI: https://doi.org/10.1007/s11023-017-9424-7

Keywords

  • Cognitive model
  • Argument evaluation
  • Substantive irrationality