Primary Cognitive Categories Are Determined by Their Invariances

Author:

Gärdenfors Peter

Abstract

The world as we perceive it is structured into objects, actions and places that form parts of events. In this article, my aim is to explain why these categories are cognitively primary. From an empiricist and evolutionary standpoint, it is argued that the reduction of the complexity of sensory signals is based on the brain's capacity to identify various types of invariances that are evolutionarily relevant for the activities of the organism. The first aim of the article is to explain why places, object and actions are primary cognitive categories in our constructions of the external world. It is shown that the invariances that determine these categories have their separate characteristics and that they are, by and large, independent of each other. This separation is supported by what is known about the neural mechanisms. The second aim is to show that the category of events can be analyzed as being constituted of the primary categories. The category of numbers is briefly discussed. Some implications for computational models of the categories are also presented.

Publisher

Frontiers Media SA

Subject

General Psychology

Reference98 articles.

1. Principal component analysis;Abdi;Wiley Interdiscipl. Rev. Comput. Stat.,2010

2. Learning to see by moving;Agrawal;IEEE Int. Conf. Comput. Vis.,2015

3. Radical constructivism and cognitive psychology;Anderson;Brookings Papers Educ. Policy,1998

4. Unsupervised learning of invariant representations;Anselmi;Theor. Comput. Sci,2016

5. Object permanence in young infants: further evidence;Baillargeon;Child Dev,1991

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ecological Empiricism;Philosophia;2024-05-30

2. The Impact of Writing Direction on Order-Picking Performance: Evidence on Diversity and Efficiency in Operations Management;Production and Operations Management;2024-05-05

3. Conceptual Modeling of Events Based on One-Category Ontology;INT J COMPUT SCI NET;2022

4. Conceptual spaces and scientific data models;Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3