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Discoverability in the Perspective of the EC-Model of Abduction

The Centrality of Eco-Cognitive Situatedness

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Handbook of Abductive Cognition
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Abstract

Fruitfully approaching the problems of discoverability involves an important intermediate step, which concerns the role of abductive cognition, that is, reasoning to hypotheses and the logical models of it. To this aim, when engaged in formalizing abductive reasoning, it is extremely useful to see inferences adopting the more general concepts of input and output instead of those of premisses and conclusions, which are standardly used to characterize abduction in the syllogistic scheme of the fallacy of “affirming the consequent.” Indeed, from this perspective, abductive inferences can be first of all seen as related to logical processes in which input and output fail to hold each other in an expected relation, with the solution involving the modification of inputs, not that of outputs. Unfortunately, if input and output fail to hold each other in a “good” relation, very difficult is to solve the related abductive problem: discoverability is jeopardized. In this perspective – and given the fact that science produces and “maximizes” cognition through a process in which affirming truths implies negating truths–the analysis of abductive processes leads us to the emphasis on the importance of the following main aspects: “optimization of eco-cognitive situatedness,” “maximization of changeability” of both input and output, and high “information-sensitiveness.” It will be also illustrated that irrelevance and implausibility are not always offensive to reason, and so they can favor both discoverability and discovery. A final section will be devoted to a clarification of the strict relationship between diagnosticability, “affordances” – as environmental anchors that allow us to better exploit external resources – and abduction. Especially diagnosticability, but of course also discoverability, is of course related to the availability of the appropriate affordances.

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References

  • Aliseda, A. (1997). Seeking Explanations: Abduction in Logic, Philosophy of Science and Artificial Intelligence. PhD thesis, Amsterdam: Institute for Logic, Language and Computation.

    Google Scholar 

  • Aliseda, A. (2006). Abductive Reasoning. Logical Investigations Into Discovery and Explanation. Heidelberg/Berlin: Springer.

    MATH  Google Scholar 

  • Barés-Gómez, C., & Fontaine, M. (2021). Between sentential and model-based abductions. A dialogical approach. Logic Journal of the IGPL, 29(4), 425–446. Special Issue on “Formal Representations in Model-Based Reasoning and Abduction”, ed. by A. Nepomuceno, L. Magnani, F. Salguero, C. Barés-Gómez, & M. Fontaine.

    Google Scholar 

  • Bertolotti, T., & Magnani, L. (2014). An epistemological analysis of gossip and gossip-based knowledge. Synthese, 191, 4037–4067.

    Article  Google Scholar 

  • Brandom, R. (2000). Articulating Reason: An Introduction to Inferentialism. Cambridge, MA: Harvard University Press/Edinburgh.

    Book  Google Scholar 

  • Brown, B., & Priest, G. (2004). Chunk and permeate, a paraconsistent inference strategy. Part I: The infinitesimal calculus. Journal of Philosophical Logic, 33(4), 379–388.

    Article  MathSciNet  MATH  Google Scholar 

  • Cabrera, F. (2017). Can there be a Bayesian explanationism? On the prospects of a productive partnership. Synthese, 194(4), 1245–1272.

    Article  MathSciNet  MATH  Google Scholar 

  • Cabrera, F. (2020). Does IBE require a “model” of explanation? British Journal for the Philosophy of Science, 71(2), 727–750.

    Article  Google Scholar 

  • Campos, D. G. (2011). On the distinction between Peirce’s abduction and Lipton’s inference to the best explanation. Synthese, 180(3), 419–442.

    Article  Google Scholar 

  • Einstein, A. (2014). Relativity and the problem of space [1952]. In Ideas and Opinions (S. Bergmann, Trans., pp. 360–377). New York: Crown Publisher.

    Google Scholar 

  • Estrada-González, L. (2013). Remarks on some general features of abduction. Journal of Logic and Computation, 232(1), 181–197.

    Article  MathSciNet  MATH  Google Scholar 

  • Feyerabend, P. (1975). Against Method. London/New York: Verso.

    Google Scholar 

  • Fontaine, M., & Barés-Gómez, C. (2019). Conjecturing hypotheses in a dialogical logic for abduction. In D. Gabbay, L. Magnani, W. Park, & A. Pietarinen (Eds.), Natural Arguments, A Tribute to John Woods (pp. 379–414). London: College Publications.

    MATH  Google Scholar 

  • Gabbay, D. M., & Woods, J. (2005). The Reach of Abduction. Amsterdam: North-Holland.

    MATH  Google Scholar 

  • Gibson, A., & Bruza, P. (2021). Transepistemic abduction: Reasoning across epistemic domains. Logic Journal of the IGPL, 29(4), 469–482. Special Issue on “Formal Representations in Model-Based Reasoning and Abduction”, ed. by A. Nepomuceno, L. Magnani, F. Salguero, Barés-Gómez, M. Fontaine.

    Google Scholar 

  • Gibson, J. J. (1979). The Ecological Approach to Visual Perception. Boston, MA: Houghton Mifflin.

    Google Scholar 

  • Hendricks, F. V., & Faye, J. (1999). Abducting explanation. In L. Magnani, N. J. Nersessian, & P. Thagard (Eds.), Model-Based Reasoning in Scientific Discovery (pp. 271–294). New York: Kluwer Academic/Plenum Publishers.

    Chapter  Google Scholar 

  • Kakas, A., Kowalski, R. A., & Toni, F. (1993). Abductive logic programming. Journal of Logic and Computation, 2(6), 719–770.

    Article  MathSciNet  MATH  Google Scholar 

  • Kowalski, R. A. (1979). Logic for Problem Solving. New York: Elsevier.

    MATH  Google Scholar 

  • Kuipers, T. A. F. (1999). Abduction aiming at empirical progress of even truth approximation leading to a challenge for computational modelling. Foundations of Science, 4, 307–323.

    Article  MathSciNet  MATH  Google Scholar 

  • Laland, K. N., & Brown, G. R. (2006). Niche construction, human behavior, and the adaptive-lag hypothesis. Evolutionary Anthropology, 15, 95–104.

    Article  Google Scholar 

  • Laland, K. N., & Sterelny, K. (2006). Perspective: Seven reasons (not) to neglect niche construction. Evolution. International Journal of Organic Evolution, 60(9), 4757–4779.

    Google Scholar 

  • Livio, M. (2013). Brilliant Blunders: From Darwin to Einstein. Colossal Mistakes by Great Scientists That Changed Our Understanding of Life and the Universe. New York: Simon & Schuster.

    Google Scholar 

  • Magnani, L. (1988). Epistémologie de l’invention scientifique. Communication and Cognition, 21, 273–291.

    Google Scholar 

  • Magnani, L. (2001). Abduction, Reason, and Science. Processes of Discovery and Explanation. New York: Kluwer Academic/Plenum Publishers.

    Book  Google Scholar 

  • Magnani, L. (2007). Morality in a Technological World. Knowledge as Duty. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Magnani, L. (2009). Abductive Cognition. The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning. Heidelberg/Berlin: Springer.

    Book  MATH  Google Scholar 

  • Magnani, L. (2011). Understanding Violence. The Intertwining of Morality, Religion, and Violence: A Philosophical Stance. Heidelberg/Berlin: Springer.

    Book  Google Scholar 

  • Magnani, L. (2015a). The eco-cognitive model of abduction. ’ now: Naturalizing the logic of abduction. Journal of Applied Logic, 13, 285–315.

    Article  MathSciNet  MATH  Google Scholar 

  • Magnani, L. (2015b). Naturalizing logic. Errors of reasoning vindicated: Logic reapproaches cognitive science. Journal of Applied Logic, 13, 13–36.

    Article  MathSciNet  Google Scholar 

  • Magnani, L. (2016). The eco-cognitive model of abduction. Irrelevance and implausibility exculpated. Journal of Applied Logic, 15, 94–129.

    Article  MathSciNet  MATH  Google Scholar 

  • Magnani, L. (2017). The Abductive Structure of Scientific Creativity. An Essay on the Ecology of Cognition. Cham: Springer.

    Book  Google Scholar 

  • Magnani, L. (2019). AlphaGo, locked strategies, and eco-cognitive openness. Philosophies, 4(1), 8.

    Article  Google Scholar 

  • Magnani, L. (2021). Computational domestication of ignorant entities. Unconventional cognitive embodiments. Synthese, 198, 7503–7532. Special Issue on “Knowing the Unknown” (guest editors L. Magnani & S. Arfini).

    Google Scholar 

  • Magnani, L. (2022). Discoverability. The Urgent Need of an Ecology of Human Creativity. Cham: Springer.

    Book  Google Scholar 

  • Mcauliffe, W. H. B. (2015). How did abduction get confused with inference to the best explanation? Transactions of the Charles S. Peirce Society, 51(3), 300–319.

    Article  Google Scholar 

  • McJohn, S. M. (1993). On uberty: Legal reasoning by analogy and Peirce’s theory of abduction. Willamette Law Review, 29, 191–235.

    Google Scholar 

  • Meheus, J., Verhoeven, L., Van Dyck, M., & Provijn, D. (2002). Ampliative adaptive logics and the foundation of logic-based approaches to abduction. In L. Magnani, N. J. Nersessian, & C. Pizzi (Eds.), Logical and Computational Aspects of Model-Based Reasoning (pp. 39–71). Dordrecht: Kluwer Academic Publishers.

    Chapter  Google Scholar 

  • Odling-Smee, F. J., Laland, K. N., & Feldman, M. W. (2003). Niche Construction. The Neglected Process in Evolution. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Park, W. (2015). On classifying abduction. Journal of Applied Logic, 13, 215–238.

    Article  MathSciNet  MATH  Google Scholar 

  • Park, W. (2017a). On Lorenzo Magnani’s manipulative abduction. In L. Magnani & T. Bertolotti (Eds.), Handbook of Model-Based Science (pp. 197 –213). Berlin: Springer.

    Chapter  Google Scholar 

  • Park, W. (2017b). Abduction in Context. The Conjectural Dynamics of Scientific Reasoning. Cham: Springer.

    Book  Google Scholar 

  • Peirce, C. S. (1866–1913). Collected Papers of Charles Sanders Peirce. Cambridge, MA: Harvard University Press. Vols. 1–6, C. Hartshorne & P. Weiss, Eds.; Vols. 7–8, A. W. Burks, Ed. (1931–1958).

    Google Scholar 

  • Pietarinen, A.-V. (2020). Abduction and diagrams. Logic Journal of the IGPL, 29(4), 447–468. Special Issue on “Formal Representations in Model-Based Reasoning and Abduction”, ed. by A. Nepomuceno, L. Magnani, F. Salguero, C. Barés-Gómez, & M. Fontaine.

    Google Scholar 

  • Thom, R. (1988). Esquisse d’une sémiophysique. Paris: InterEditions. Translated by V. Meyer, Semio Physics: A Sketch. Redwood City, CA: Addison Wesley, 1990.

    Google Scholar 

  • van Benthem, J. (2007). Abduction at the interface of logic and philosophy of science. Theoria, 60(22/3), 271–273.

    Google Scholar 

  • Wells, A. J. (2002). Gibson’s affordances and Turing’s theory of computation. Ecological Psychology, 14(3), 141–180.

    Article  Google Scholar 

  • Windsor, W. L. (2004). An ecological approach to semiotics. Journal for the Theory of Social Behavior, 34(2), 179–198.

    Article  MathSciNet  Google Scholar 

  • Woods, J. (2007). Ignorance and semantic tableaux: Aliseda on abduction. Theoria, 60(22/3), 305–318.

    MathSciNet  MATH  Google Scholar 

  • Woods, J. (2011). Recent developments in abductive logic. Studies in History and Philosophy of Science, 42(1), 240–244. Essay Review of Magnani, L. (2009). Abductive Cognition. The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning. Heidelberg/Berlin: Springer.

    Google Scholar 

  • Woods, J. (2013). Errors of Reasoning. Naturalizing the Logic of Inference. London: College Publications.

    Google Scholar 

  • Woods, J. (2017). Reorienting the logic of abduction. In L. Magnani & T. Bertolotti (Eds.), Springer Handbook of Model-Based Science (pp. 137–150). Cham: Springer.

    Chapter  Google Scholar 

  • Zardini, E. (2014). Context and consequence. An intercontextual substructural logic. Synthese, 191, 3473–3500.

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

Research for this chapter was supported by the PRIN 2017 Research 20173YP4N3—MIUR, Ministry of University and Research, Rome, Italy.

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Correspondence to Lorenzo Magnani .

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Magnani, L. (2023). Discoverability in the Perspective of the EC-Model of Abduction. In: Magnani, L. (eds) Handbook of Abductive Cognition. Springer, Cham. https://doi.org/10.1007/978-3-031-10135-9_1

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