Philosophical Studies 160 (1):1-29 (2012)
Authors |
|
Abstract |
Critics of contemporary metaphysics argue that it attempts to do the hard work of science from the ease of the armchair. Physics, not metaphysics, tells us about the fundamental facts of the world, and empirical psychology is best placed to reveal the content of our concepts about the world. Exploring and understanding the world through metaphysical reflection is obsolete. In this paper, I will show why this critique of metaphysics fails, arguing that metaphysical methods used to make claims about the world are similar to scientific methods used to make claims about the world, but that the subjects of metaphysics are not the subjects of science. Those who argue that metaphysics uses a problematic methodology to make claims about subjects better covered by natural science get the situation exactly the wrong way around: metaphysics has a distinctive subject matter, not a distinctive methodology. The questions metaphysicians address are different from those of scientists, but the methods employed to develop and select theories are similar. In the first section of the paper, I will describe the sort of subject matter that metaphysics tends to engage with. In the second section of the paper, I will show how metaphysical theories are classes of models and discuss the roles of experience, common sense and thought experiments in the construction and evaluation of such models. Finally, in the last section I will discuss the way these methodological points help us to understand the metaphysical project. Getting the right account of the metaphysical method allows us to better understand the relationship between science and metaphysics, to explain why doing metaphysics successfully involves having a range of different theories, to understand the role of thought experiments involving fictional worlds, and to situate metaphysical realism in a scientifically realist context
|
Keywords | Metaphysics Methodology Science Models Inference to the best explanation Intuitions Common sense Kant Theories Empirical equivalence Simplicity |
Categories | (categorize this paper) |
ISBN(s) | |
DOI | 10.1007/s11098-012-9906-7 |
Options |
![]() ![]() ![]() ![]() |
Download options
References found in this work BETA
Every Thing Must Go: Metaphysics Naturalized.James Ladyman & Don Ross - 2007 - Oxford University Press.
View all 50 references / Add more references
Citations of this work BETA
Beyond Binary: Genderqueer as Critical Gender Kind.Robin Dembroff - 2020 - Philosophers' Imprint 20 (9):1-23.
Grounding and Metaphysical Explanation: It’s Complicated.Anna-Sofia Maurin - 2019 - Philosophical Studies 176 (6):1573-1594.
Building the World From its Fundamental Constituents.L. A. Paul - 2012 - Philosophical Studies 158 (2):221-256.
Structuralism in the Idiom of Determination.Kerry McKenzie - 2020 - British Journal for the Philosophy of Science 71 (2):497-522.
View all 101 citations / Add more citations
Similar books and articles
Perspectives on Modeling in Cognitive Science.Richard M. Shiffrin - 2010 - Topics in Cognitive Science 2 (4):736-750.
The Handmaiden of the Sciences.R. Eric O’Connor - 1938 - Thought: Fordham University Quarterly 13 (3):501-502.
Ontological Aspects of Information Modeling.Robert L. Ashenhurst - 1996 - Minds and Machines 6 (3):287-394.
Self‐Deception as the Handmaiden of Evil.Laurence Thomas - 2012 - Midwest Studies in Philosophy 36 (1):53-61.
How Modeling Can Go Wrong: Some Cautions and Caveats on the Use of Models.Patrick Grim & Nicholas Rescher - 2013 - Philosophy and Technology 26 (1):75-80.
Descartes and Suárez on Secondary Qualities a Tale of Two Readings.Norman J. Wells - 1998 - Review of Metaphysics 51 (3):565 - 604.
Mathematical Modeling in Biology: Philosophy and Pragmatics.Rasmus Grønfeldt Winther - 2012 - Frontiers in Plant Evolution and Development 2012:1-3.
Introduction to Computational Cognitive Modeling.Ron Sun - 2008 - In The Cambridge Handbook of Computational Psychology. Cambridge University Press. pp. 3--19.
Information Modeling Aspects of Software Development.Timothy R. Colburn - 1998 - Minds and Machines 8 (3):375-393.
Modeling a Theory Without a Model Theory, or, Computational Modeling “After Feyerabend”.Arthur M. Jacobs & Jonathan Grainger - 1999 - Behavioral and Brain Sciences 22 (1):46-47.
An Eldritch Tale: Kafka’s The Metamorphosis and the Self.Wesley Cooper - 2008 - Philo 11 (2):133-144.
Analytics
Added to PP index
2012-04-27
Total views
547 ( #15,773 of 2,506,349 )
Recent downloads (6 months)
22 ( #40,367 of 2,506,349 )
2012-04-27
Total views
547 ( #15,773 of 2,506,349 )
Recent downloads (6 months)
22 ( #40,367 of 2,506,349 )
How can I increase my downloads?
Downloads