Abstract

Much effort has been devoted to explaining in what sense models represent their corresponding target systems. This has been considered a pivotal philosophical problem since representational models have been widely assumed to canalize our knowledge and understanding of reality. The aim of the paper is to analytically structure the framework commonly adopted to address the Scientific Representation Problem (SR-P), i.e., onto-representationalism, and to examine its main problems. Due to its very theoretical conditions, I conclude that onto-representationalism constitutes an inadequate meta-scientific platform to approach SR-P. I locate the problem in the semantic assumption. To materialize these analyses, I examine the main arguments proposed by the main variants of onto-representationalism: classical onto-representationalism and sophisticated onto-representationalism.

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