An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA

An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA
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DOI:
10.1016/j.neunet.2007.09.013
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发表时间:
2007-11-01
期刊:
影响因子:
7.8
通讯作者:
Franklin, Stan
Franklin, Stan
中科院分区:
计算机科学1区
文献类型:
--
作者:
Baars, Bernard J.;Franklin, Stan

文献摘要

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虽然神经网络模型已经发展到高度复杂的程度,但它们在更综合的“架构”分析水平上存在一些缺点。我们描述了一个“混合”的认知架构,是在神经元网络中实现的,并具有统一的类脑功能,包括激活传递和高度分布的“codelets”,可实现为小规模的神经网络。从经验上讲,这种认知架构定性地解释了巴尔斯的全球工作空间理论(GWT)和富兰克林的利达架构所描述的数据,包括行动计划中有意识内容的最先进模型、巴德利式工作记忆以及情景和语义长期记忆的工作模型。这些术语在概念上和经验上都被定义为当前的理论领域。由此产生的架构符合四个理想的目标,一个统一的认知理论:实际的可操作性,自主机构,一个合理的角色,有意识的认知,并翻译成合理的神经术语。它还生成可测试的预测,包括经验和计算。(c)2007年由Elsevier Ltd.出版
While neural net models have been developed to a high degree of sophistication, they have some drawbacks at a more integrative, "architectural" level of analysis. We describe a "hybrid" cognitive architecture that is implementable in neuronal nets, and which has uniform brainlike features, including activation-passing and highly distributed "codelets," implementable as small-scale neural nets. Empirically, this cognitive architecture accounts qualitatively for the data described by Baars' Global Workspace Theory (GWT), and Franklin's LIDA architecture, including stateof-the-art models of conscious contents in action-planning, Baddeley-style Working Memory, and working models of episodic and semantic longterm memory. These terms are defined both conceptually and empirically for the current theoretical domain. The resulting architecture meets four desirable goals for a unified theory of cognition: practical workability, autonomous agency, a plausible role for conscious cognition, and translatability into plausible neural terms. It also generates testable predictions, both empirical and computational. (c) 2007 Published by Elsevier Ltd.