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A Kantian Cognitive Architecture

  • Richard EvansEmail author
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Part of the Philosophical Studies Series book series (PSSP, volume 134)

Abstract

In this paper, I reinterpret Kant’s Transcendental Analytic as a description of a cognitive architecture. I describe a computer implementation of this architecture, and show how it has been applied to two unsupervised learning tasks. The resulting program is very data efficient, able to learn from a tiny handful of examples. I show how the program achieves data-efficiency: the constraints described in the Analytic of Principles are reinterpreted as strong prior knowledge, constraining the set of possible solutions.

Keywords

Kant Critique of pure reason Rule induction Unsupervised learning Data efficiency Cognitive architecture Computational modeling Original intentionality Cognitive agency 
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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Imperial College LondonLondonUK
  2. 2.DeepMindLondonUK

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