• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

意识的计算研究。

Computational studies of consciousness.

作者信息

Aleksander Igor, Morton Helen

机构信息

Department of Electrical and Electronic Engineering Imperial College, Room 615, South Kensington Campus, London, UK.

出版信息

Prog Brain Res. 2008;168:77-93. doi: 10.1016/S0079-6123(07)68007-8.

DOI:10.1016/S0079-6123(07)68007-8
PMID:18166387
Abstract

In this chapter we present a computational architecture intended to add clarity to the concept of consciousness. We briefly review some of the motivations of work done in this area in various institutes around the world and looks closely at our own work which specifically includes phenomenology, the sense of a self in a perceptual world. This breaks consciousness into five axioms: presence, imagination, attention, volition and emotions. It develops plausible mechanisms of each and how they interact to give a single sensation. An abstract architecture, the kernel architecture, is introduced as a starting point for building computational models. It is shown that through this architecture it is possible to discuss puzzling aspects of consciousness, for example are animals conscious? What happens when we dream? What goes on when we experience an illusion? This paper is intended to elucidate and update some concepts introduced in Aleksander (2005).

摘要

在本章中,我们提出一种计算架构,旨在使意识概念更加清晰。我们简要回顾世界各地各机构在该领域开展工作的一些动机,并仔细审视我们自己的工作,其中特别包括现象学,即在感知世界中的自我意识。这将意识分解为五个公理:存在感、想象力、注意力、意志和情感。它阐述了每个公理的合理机制以及它们如何相互作用以产生单一感觉。引入了一种抽象架构——核心架构,作为构建计算模型的起点。结果表明,通过这种架构可以讨论意识中令人困惑的方面,例如动物有意识吗?我们做梦时会发生什么?我们产生幻觉时会怎样?本文旨在阐明并更新亚历山大(2005年)中引入的一些概念。

相似文献

1
Computational studies of consciousness.意识的计算研究。
Prog Brain Res. 2008;168:77-93. doi: 10.1016/S0079-6123(07)68007-8.
2
Machine consciousness.机器意识
Prog Brain Res. 2005;150:99-108. doi: 10.1016/S0079-6123(05)50008-6.
3
Phenomenology and digital neural architectures.现象学与数字神经架构。
Neural Netw. 2007 Nov;20(9):932-7. doi: 10.1016/j.neunet.2007.09.008. Epub 2007 Sep 8.
4
Consciousness and metarepresentation: a computational sketch.意识与元表征:一个计算草图
Neural Netw. 2007 Nov;20(9):1032-9. doi: 10.1016/j.neunet.2007.09.011. Epub 2007 Sep 12.
5
A cognitive architecture for robot self-consciousness.一种用于机器人自我意识的认知架构。
Artif Intell Med. 2008 Oct;44(2):147-54. doi: 10.1016/j.artmed.2008.07.003. Epub 2008 Aug 19.
6
[Towards a taxonomy of consciousness].[迈向意识分类学]
Rev Neurol. 2003;36(11):1083-93.
7
An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA.意识和无意识大脑功能的一种架构模型:全局工作空间理论与IDA。
Neural Netw. 2007 Nov;20(9):955-61. doi: 10.1016/j.neunet.2007.09.013. Epub 2007 Sep 18.
8
Genes and experience shape brain networks of conscious control.基因与经验塑造有意识控制的脑网络。
Prog Brain Res. 2005;150:173-83. doi: 10.1016/S0079-6123(05)50012-8.
9
The rise of machine consciousness: studying consciousness with computational models.机器意识的崛起:用计算模型研究意识。
Neural Netw. 2013 Aug;44:112-31. doi: 10.1016/j.neunet.2013.03.011. Epub 2013 Mar 26.
10
A computational neuroscience approach to consciousness.一种关于意识的计算神经科学方法。
Neural Netw. 2007 Nov;20(9):962-82. doi: 10.1016/j.neunet.2007.10.001. Epub 2007 Oct 7.

引用本文的文献

1
The effects of implementing phenomenology in a deep neural network.在深度神经网络中应用现象学的效果。
Heliyon. 2021 Jun 8;7(6):e07246. doi: 10.1016/j.heliyon.2021.e07246. eCollection 2021 Jun.
2
Can Computers Become Conscious and Overcome Humans?计算机能变得有意识并战胜人类吗?
Front Robot AI. 2018 Oct 26;5:121. doi: 10.3389/frobt.2018.00121. eCollection 2018.
3
Towards an integrative theory of consciousness: part 2 (an anthology of various other models).迈向意识整合理论:第二部分(各种其他模型选集)
Mens Sana Monogr. 2013 Jan;11(1):151-209. doi: 10.4103/0973-1229.109341.