人工人格架构的一些方面

D. Vinnik
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引用次数: 0

摘要

本文探讨了人工人格作为强人工智能的一种形式和人类心理模型的可能性。有人认为联结主义与创造人工人格无关——大脑是一个混合系统,除了自我学习电路外,还包含算法程序。一个假设的功能作用的自我意识属性的意识作为一个反身等级,因为真正的智力出现,提出。人工智能作为一个模型,可以构建为一个混合的多智能体系统。有些电路可能是模拟的,有些是数字的;一些系统可能是自我学习的,其他系统可能在算法规则和数学函数下运行。感知模型的成功倾向于认为感觉建模可以自我学习。情感的层次可以被实现为模拟形式的主要表征。后者可以在作为次要表征处理的判断中抽象出来。自我意识或元心理状态的水平暗示了在输入处使用次级表征学习自我学习(作为自我意识意识的模拟)的一定可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some aspects of artificial personality architecture
This paper examines the possibility of artificial personality as a form of strong AI and as a model of the human psyche. It is argued that connectionism is not relevant for creating an artificial personality – brain is a hybrid system, which, in addition to self-learning circuits, contains algorithmic procedures. A hypothesis of the functional role of the awareness of self-consciousness property as a reflexive rank, since genuine intelligence arise, is proposed. AI as a model can be built as a hybrid multi-agent system. Some circuits may be analog, others – digital; some systems may be self-learning, others may operate under algorithmic rules and mathematical functions. The success of perceptronical inclines to idea that sensation modeling can be self-learning. The level of emotions can be realized as primary representations in the analog form. The later may be abstracted in judgments treated as secondary representations. The level of self-consciousness or meta-psychological states implies certain possibility of learning to self-learning (as an analogue of awareness of self-awareness) using secondary representations at the input.
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