Unlimited Associative Learning and the origins of consciousness: a primer and some predictions

Jonathan Birch, Simona Ginsburg, Eva Jablonka

Research output: Contribution to journalArticlepeer-review

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).

Original languageEnglish
Article number56
JournalBiology and Philosophy
Volume35
Issue number6
DOIs
StatePublished - Dec 2020

Keywords

  • Consciousness
  • Evolution
  • Evolutionary transitions
  • Learning
  • Transition marker
  • Unlimited associative learning

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