A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures
A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures
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DOI：
10.1016/j.neucom.2010.08.012
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发表时间：
2010-12
期刊：
影响因子：
6
通讯作者：
B. Goertzel;Ruiting Lian;I. Arel;H. D. Garis;Shuo Chen
中科院分区：
文献类型：
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作者：
B. Goertzel;Ruiting Lian;I. Arel;H. D. Garis;Shuo Chen
一些领先的认知架构，灵感来自人类的大脑，在不同的粒度水平，审查和比较，特别注意到他们的内部结构和动态映射到神经过程的方式。四类生物启发的认知架构（BICAs）被认为是，每个类别的多个例子简要回顾，并选择更深入的讨论的例子：主要是象征性建筑（例如ACT-R），紧急主义架构（例如DeSTIN），开发机器人架构（例如IM-CLEVER），以及我们的中心焦点，混合架构（例如利达，ARMION，4D/RCS，DUAL，MicroPsi和OpenCog）。鉴于BICA的最新技术水平，目前还不可能判断在架构层面上模拟大脑是否足以粗略模拟大脑功能;鉴于神经科学的最新技术水平，目前还不可能将BICA与大规模大脑模拟彻底连接起来。然而，在各种BICA的各个组成部分与各种大脑区域和动力学之间建立合理的密切功能联系仍然是可能的，随着BICA和大脑模拟的成熟，这些联系应该会变得更加丰富，并可能进一步扩展到内部动力学和整体行为的领域。
A number of leading cognitive architectures that are inspired by the human brain, at various levels of granularity, are reviewed and compared, with special attention paid to the way their internal structures and dynamics map onto neural processes. Four categories of Biologically Inspired Cognitive Architectures (BICAs) are considered, with multiple examples of each category briefly reviewed, and selected examples discussed in more depth: primarily symbolic architectures (e.g. ACT-R), emergentist architectures (e.g. DeSTIN), developmental robotics architectures (e.g. IM-CLEVER), and our central focus, hybrid architectures (e.g. LIDA, CLARION, 4D/RCS, DUAL, MicroPsi, and OpenCog). Given the state of the art in BICA, it is not yet possible to tell whether emulating the brain on the architectural level is going to be enough to allow rough emulation of brain function; and given the state of the art in neuroscience, it is not yet possible to connect BICAs with large-scale brain simulations in a thoroughgoing way. However, it is nonetheless possible to draw reasonably close function connections between various components of various BICAs and various brain regions and dynamics, and as both BICAs and brain simulations mature, these connections should become richer and may extend further into the domain of internal dynamics as well as overall behavior.