Explanatory Filter: Detecting Intelligent Design in the Natural Sciences

  • Dariusz Sagan University of Zielona Góra
Keywords: explanatory filter, specified complexity, specification, necessity, chance, design, design inference, eliminative approach to hypotheses testing, comparative approach to hypotheses testing, William Dembski

Abstract

The main purpose of this paper is to present the concept of explanatory filter as developed by William Dembski, a proponent of intelligent design theory. The explanatory filter is intended as a tool for detecting design, i.e. for discriminating between the results of intelligent and unintelligent activity, in case when the underlying causal history is unknown. Dembski claims that the explanatory filter as a method of design detection is already widely used in various branches of knowledge, although in a pre-theoretic form. His goal is to give the filter a rigorous theoretical shape, as well as to apply it to natural sciences such as cosmology or biology. After outlining the foundations of Dembski’s proposal, various objections to the concept of explanatory filter will be analyzed.

Author Biography

Dariusz Sagan, University of Zielona Góra

Dariusz Sagan, M.A. – Department of Logics and Methodology of Sciences, Institute of Philosophy, University of Zielona Góra

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Published
2020-09-02
Section
Articles