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  1. On Understanding and Modeling in Evo-Devo.David Cortés-García & Rodrigo Lopez-Orellana - 2019 - In Matthieu Fontaine, Cristina Barés-Gómez, Francisco Salguero-Lamillar, Lorenzo Magnani & Ángel Nepomuceno-Fernández (eds.), Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation. Springer Verlag.
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    What is Special about Natural Drift as an Organism-Centered View of Evolution.Arantza Etxeberria & David Cortés-García - 2022 - Constructivist Foundations 18 (1):107-109.
    Jorge Mpodozis presents natural drift as an organism-centered view of biological evolution. Currently, many other research programs in biology and philosophy of biology pursue organismic perspectives in evolution. We consider some of the features appearing in the article in this light in order to highlight what is special in Mpodozis’s proposal. We contend that collaborations among research programs would be valuable and suggest that the major contribution of natural drift for organismic projects lies in its dynamic organizational features.
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    An inferential and dynamic approach to modeling and understanding in biology.Rodrigo Lopez-Orellana, Juan Redmond & David Cortés-García - 2019 - Humanities Journal of Valparaiso 14:315-334.
    This paper aims to propose an inferential and dynamic approach to understanding with models in biology. Understanding plays a central role in the practice of modeling. From its links with the other two central elements of scientific research, experimentation, and explanation, we show its epistemic relevance to the case of explanation in biology. Furthermore, by including the notion of understanding, we propose a non-referentialist perspective on scientific models, which is determined by their use.
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    An inferential and dynamic approach to modeling and understanding in biology.Rodrigo Lopez-Orellana, Juan Redmond & David Cortés-García - 2019 - Revista de Humanidades de Valparaíso 14:315-334.
    This paper aims to propose an inferential and dynamic approach to understanding with models in biology. Understanding plays a central role in the practice of modeling. From its links with the other two central elements of scientific research, experimentation, and explanation, we show its epistemic relevance to the case of explanation in biology. Furthermore, by including the notion of understanding, we propose a non-referentialist perspective on scientific models, which is determined by their use.
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