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Specification of the Unified Conceptual Space, for Purposes of Empirical Investigation

  • Joel ParthemoreEmail author
Chapter
Part of the Synthese Library book series (SYLI, volume 359)

Abstract

Recent years have seen a number of competing theories of concepts within philosophy of mind, supplanting the classical definitionist and imagist accounts: among them, Jerry Fodor’s Informational Atomism Theory, Jesse Prinz’s Proxytypes Theory, and Peter Gärdenfors’ Conceptual Spaces Theory (CST). On the whole there has been little empirical investigation into the competing theories’ merits; the (limited) empirical investigation of CST offers the one obvious exception. Some theories, such as Informational Atomism, seem almost beyond the possibility of such testing by design. Some philosophers would claim that theories of concepts, by their nature, cannot be tested empirically; and they raise valid concerns. Although I concede that theories of concepts are not open to direct empirical investigation, nonetheless indirect methods can provide strong circumstantial evidence for or against a theory such as CST; and I offer a research plan for doing so. Indeed, I argue that an extension of CST I call the Unified Conceptual Space Theory (UCST) is better placed than the competition when it comes to such testing, not least because it comes with a software application, in the form of a mind-mapping program, as a more-or-less direct translation of the theory into a working computer model. This paper provides the most detailed specification to date of the algorithm underlying the UCST, described in earlier publications as an attempt to move CST in a more algorithmically amenable and therefore, it is hoped, more empirically testable direction. UCST brings all the many widely divergent conceptual spaces discussed in CST together into a single unified “space of spaces” arranged along three axes, where points in the space have both local and distal connections to other points.

Keywords

Empirical Investigation Conceptual Space Integral Dimension Grammatical Category Voronoi Tessellation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The author gratefully acknowledges the financial and academic support of the Centre for Cognitive Semiotics at Lund University, directed by Prof. Göran Sonesson and assisted by Prof. Jordan Zlatev; the assistance of Daniel Barratt in designing the experiments; and, finally, the helpful discussion and criticism received at seminars of the Centre for Cognitive Semiotics.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Centre for Cognitive SemioticsLund UniversityLundSweden

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