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A Parser as an Epistemic Artifact: A Material View on Models

Published online by Cambridge University Press:  01 January 2022

Abstract

The purpose of this paper is to suggest that models in scientific practice can be conceived of as epistemic artifacts. Approaching models this way accommodates many such things that working scientists themselves call models but that the semantic conception of models does not duly recognize as such. That models are epistemic artifacts implies, firstly, that they cannot be understood apart from purposeful human activity; secondly, that they are somehow materialized inhabitants of the intersubjective field of that activity; and thirdly, that they can function also as knowledge objects. We argue that models as epistemic artifacts provide knowledge in many other ways than just via direct representative links. To substantiate our view we use a language-technological artifact, a parser, as an example.

Type
Models and Modeling
Copyright
Copyright © The Philosophy of Science Association

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References

Bailer-Jones, Daniela (1999), “Tracing the Development of Models in the Philosophy of Science”, Magnani, in Lorenzo, Nersessian, Nancy, and Thagard, Paul (eds.), Model-Based Reasoning in Scientific Discovery. New York: Kluwer, 2340.CrossRefGoogle Scholar
Black, Max (1962), Models and Metaphors. Ithaca, NY: Cornell University Press.CrossRefGoogle Scholar
Boumans, Marcel (1999), “Built-in Justification”, in Morgan, Mary and Morrison, Margaret (eds.), Models as Mediators. Cambridge: Cambridge University Press, 6696.CrossRefGoogle Scholar
Da Costa, Newton, and French, Steven (2000), “Models, Theories and Structures: Thirty Years On”, Models, Theories and Structures: Thirty Years On 67 (Proceedings): S116S127.Google Scholar
Dowling, Deborah (1999), “Experimenting on Theories”, Experimenting on Theories 12(2): 261273.Google Scholar
Engeström, Yrjö, and Escalante, Victoria (1995), “Mundane Tool or Object of Affection? The Rise and Fall of Postal Buddy”, in Nardi, Bonnie (ed.), Context and Consciousness: Activity Theory and Human-Computer Interaction. Cambridge: MIT Press, 265290.Google Scholar
Fox Keller, Evelyn (2000), “Models of and Models for: Theory and Practice in Contemporary Biology”, Models of and Models for: Theory and Practice in Contemporary Biology 67 (Proceedings): S72S86.Google Scholar
French, Steven, and Ladyman, James (1999), “Reinflating the Semantic Approach”, Reinflating the Semantic Approach 13(2): 103121.Google Scholar
Giere, Ronald (1988), Explaining Science: A Cognitive Approach. Chicago and London: University of Chicago Press.CrossRefGoogle Scholar
Hartmann, Stephan (1995), “Models as a Tool for Theory Construction: Some Strategies of Preliminary Physics”, in Herfel, William E. et al. (eds.), Theories and Models in Scientific Processes. Amsterdam: Rodolpi, 4967.Google Scholar
Karlsson, Fred, Voutilainen, Atro, Heikkilä, Juha, and Anttila, Arto (eds.) (1995), Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text. Berlin and New York: Mouton de Gruyter.CrossRefGoogle Scholar
Knorr Cetina, Karin (1999), Epistemic Cultures: How the Sciences Make Knowledge. Cambridge: Harvard University Press.Google Scholar
McMullin, Ernan (1968), “What Do Physical Models Tell Us?”, in Rootselaar, Bob van and Staal, J. F. (eds.), Logic, Methodology, and Philosophy of Science III. Amsterdam: North-Holland, 385396.CrossRefGoogle Scholar
Miettinen, Reijo (1998), “Object Construction and Networks in Research Work: The Case of Research on Cellulose-Degrading Enzymes”, Object Construction and Networks in Research Work: The Case of Research on Cellulose-Degrading Enzymes 28(3): 423463.Google Scholar
Morrison, Margaret, and Morgan, Mary (1999a), “Introduction”, in Morgan, Mary and Morrison, Margaret (eds.), Models as Mediators. Cambridge: Cambridge University Press, 19.Google Scholar
Morrison, Margaret, and Morgan, Mary (1999b), “Models as Mediating Instruments”, in Morgan, Mary and Morrison, Margaret (eds.), Models as Mediators. Cambridge: Cambridge University Press, 1037.CrossRefGoogle Scholar
Rheinberger, Hans-Jörg (1997), Toward a History of Epistemic Things. Stanford: Stanford University Press.Google Scholar
Roche, Emanuel, and Schabes, Yves (eds.) (1997), Finite-State Language Processing. Cambridge: MIT Press.CrossRefGoogle Scholar
Suarez, Maurizio (1999), “Theories, Models, and Representations”, in Magnani, Lorenzo, Nersessian, Nancy, and Thagard, Paul (eds.), Model-Based Reasoning in Scientific Discovery. New York: Kluwer, 7583.CrossRefGoogle Scholar
Voutilainen, Atro (1999), “An Experiment on the Upper Bound of Interjudge Agreement: The Case of Tagging”, Proceedings of the Ninth Conference of the European Chapter of the Association for Computational Linguistics, 8–12 June 1999, Bergen, Norway. Association for Computational Linguistics.CrossRefGoogle Scholar
Wartofsky, Marx (1979), Models: Representation and the Scientific Understanding. Dordrecht: Reidel.CrossRefGoogle Scholar
Winsberg, Eric (1999), “Sanctioning Models: The Epistemology of Simulation”, Sanctioning Models: The Epistemology of Simulation 12(2): 275292.Google Scholar