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无限联想学习与意识的起源:入门介绍及一些预测

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

作者信息

Birch Jonathan, Ginsburg Simona, Jablonka Eva

机构信息

Centre for Philosophy of Natural and Social Science, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, UK.

Natural Science Department, The Open University of Israel, 1 University Road, 4353701 Raanana, Israel.

出版信息

Biol Philos. 2020 Dec 3;35:56. doi: 10.1007/s10539-020-09772-0.

DOI:10.1007/s10539-020-09772-0
PMID:33597791
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7116763/
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).

摘要

在过去二十年里,金斯伯格和雅布隆卡开发了一种研究意识进化起源的新方法:无限关联学习(UAL)框架。其核心观点是,存在一种独特的学习类型,可作为从非意识生命到意识生命进化转变的过渡标志。本文的目的是通过对其关键主张进行初步介绍(第一部分)以及对其主要实证预测进行清晰阐述(第二部分),来激发对该框架的讨论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f8/7116763/2d90844b1a1b/EMS115483-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f8/7116763/ad02f3bdaa31/EMS115483-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f8/7116763/f2e59dc6e884/EMS115483-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f8/7116763/2d90844b1a1b/EMS115483-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f8/7116763/ad02f3bdaa31/EMS115483-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f8/7116763/f2e59dc6e884/EMS115483-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f8/7116763/2d90844b1a1b/EMS115483-f003.jpg

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