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Rethinking BICA's RD Challenges: Grief Revelations of an Upset Revisionist

机译:重新思考Bica的研发挑战:悲伤的修正主义者的悲伤启示

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摘要

Biologically Inspired Cognitive Architectures (BICA) is a subfield of Artificial Intelligence aimed at creating machines that emulate human cognitive abilities. What distinguish BICA from other AI approaches is that it based on principles drawn from biology and neuroscience. There is a widespread conviction that nature has a solution for almost all problems we are faced with today. We have only to pick up the solution and replicate it in our design. However, Nature does not easily give up her secrets. Especially, when it is about human brain deciphering. For that reason, large Brain Research Initiatives have been launched around the world. They will provide us with knowledge about brain workflow activity in neuron assemblies and their interconnections. But what is being "flown" (conveyed) via the interconnections the research programme does not disclose. It is implied that what flows in the interconnections is information. But what is information? - that remains undefined. Having in mind BICA's interest in the matters, the paper will try to clarify the issues.
机译:生物启发认知架构(BICA)是人工智能的子领域,旨在创造模拟人类认知能力的机器。从其他AI方法中区分BICA的是基于来自生物学和神经科学的原则。有一种广泛的信念,大自然对今天所面临的几乎所有问题都有一个解决方案。我们只能在我们的设计中拾取解决方案并复制它。然而,性质不容易放弃她的秘密。特别是,当它是人脑解密时。因此,大型大脑研究举措遍布全球。他们将为我们提供关于神经元组件和互连的脑工作流程的知识。但是通过互连“飞行”(传送)的是,研究计划没有透露。暗示互连中流动的是信息。但是什么是信息? - 仍然是未定义的。考虑到BICA对事项的兴趣,本文将澄清问题。

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