知识还是反应:人工智能的正确取舍在哪里?

G. Pettinaro
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引用次数: 0

摘要

与许多专门围绕知识范式广泛构建的机器人系统相反,取自大自然的例子显示出对环境的相当程度的适应性,而不需要对其世界的完整知识。从这些例子中推断,行为范式认为,由于生物本能不是在意图层面上处理的,因此不需要全球知识。尽管纯粹的行为范式为实时反应性问题提供了一个可能的答案,但它显然不足以让智能体扩展到有意识的水平。因此,虽然反应性应该是“智能机器人系统”的一个组成部分,但知识也应该在其中发挥重要作用。定义两者之间的正确权衡是本文的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge or reactivity: where is the right trade-off for an artificial mind?
As opposed to the many robotic systems extensively built exclusively around the knowledge paradigm, examples taken from nature show a considerable level of adaptability to their environment without requiring a complete knowledge of their world. Extrapolating from such examples, the behavioural paradigm maintains that, since biological instincts are not processed at an intentional level, there is no need for a global knowledge. Even though the purely behavioural paradigm provides a possible answer to the issue of real-time reactivity, it is clearly not enough to allow an agent to scale up to an intentional level. Thus, although reactivity should be an integral part of an "intelligent robot system", knowledge should also play an important role in it. Defining the right trade-off between the two of them is the topic of this paper.
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