Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
- PMID: 33597791
- PMCID: PMC7116763
- DOI: 10.1007/s10539-020-09772-0
Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
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).
Keywords: Consciousness; Evolution; Evolutionary transitions; Learning; Transition marker; Unlimited associative learning.
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