嵌入式通用人工智能的cogprime架构

B. Goertzel, Shujing Ke, Ruiting Lian, J. O'Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins, Gino Yu
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引用次数: 18

摘要

CogPrime是一种综合的嵌入式人工智能架构,它涵盖了核心架构和算法,潜在的概念动机,以及一旦经过适当的经验和教育,在完全实现的CogPrime系统中预期出现的紧急结构,动态和功能。本文提出了一个定性的论点,支持这样的断言,即一个完整的CogPrime系统,在一个体现体中给予适度的经验,使其能够体验一个相当丰富的类人世界,将产生人类水平的一般智能(与人类有显著差异,并有可能超越这一水平)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The cogprime architecture for embodied Artificial General Intelligence
CogPrime, a comprehensive architecture for embodied Artificial General Intelligence, is reviewed, covering the core architecture and algorithms, the underlying conceptual motivations, and the emergent structures, dynamics and functionalities expected to arise in a completely implemented CogPrime system once it has undergone appropriate experience and education. A qualitative argument is sketched, in favor of the assertion that a completed CogPrime system, given a modest amount of experience in an embodiment enabling it to experience a reasonably rich human-like world, will give rise to human-level general intelligence (with significant difference from humans, and with potential for progress beyond this level).
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