Unlimited associative learning and the origins of consciousness: a primer and some predictions

Birch, Jonathan ORCID: 0000-0001-7517-4759 (2020) Unlimited associative learning and the origins of consciousness: a primer and some predictions. Biology and Philosophy, 35 (6). ISSN 0169-3867

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Abstract

Over the past two decades, Ginsburg and Jablonka have developed a novel approach to studying the evolutionary origins of consciousness: the Unlimited Associative Learning (UAL) framework. The central idea is that there is a distinctive type of learning that can serve as a transition marker for the evolutionary transition from non-conscious to conscious life. The goal of this paper is to stimulate discussion of the framework by providing a primer on its key claims (Part I) and a clear statement of its main empirical predictions (Part II).

Item Type:	Article
Official URL:	https://www.springer.com/journal/10539
Additional Information:	© 2020 The Authors
Divisions:	Philosophy, Logic and Scientific Method
Subjects:	B Philosophy. Psychology. Religion > B Philosophy (General)
Date Deposited:	20 Nov 2020 18:21
Last Modified:	12 Dec 2024 02:23
URI:	http://eprints.lse.ac.uk/id/eprint/107485

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