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Learning deep IA bidirectional intelligence
Frontiers of Information Technology & Electronic Engineering ( IF 2.7 ) Pub Date : 2020-04-30 , DOI: 10.1631/fitee.1900541
Lei Xu

There has been a framework sketched for learning deep bidirectional intelligence. The framework has an inbound that features two actions: one is the acquiring action, which gets inputs in appropriate patterns, and the other is A-S cognition, derived from the abbreviated form of words abstraction and self-organization, which abstracts input patterns into concepts that are labeled and understood by self-organizing parts involved in the concept into structural hierarchies. The top inner domain accommodates relations and a priori knowledge with the help of the A-I thinking action that is responsible for the accumulation-amalgamation and induction-inspiration. The framework also has an outbound that comes with two actions. One is called I-S reasoning, which makes inference and synthesis (I-S) and is responsible for performing various tasks including image thinking and problem solving, and the other is called the interacting action, which controls, communicates with, and inspects the environment. Based on this framework, we further discuss the possibilities of design intelligence through synthesis reasoning.



中文翻译:

学习深度IA双向智能

已经草拟了用于学习深度双向情报的框架。该框架的入站具有两个动作:一个是获取动作,它以适当的模式获取输入,另一个是AS认知,它是从单词抽象和自组织的缩写形式衍生而来的,后者将输入模式抽象为概念,通过将概念中涉及的自组织部分标记为结构层次结构并对其进行理解。顶部的内部区域借助负责积累-融合和归纳-启发的AI思维动作来容纳关系和先验知识。该框架还具有两个动作。一种叫做IS推理进行推理和综合(IS),并负责执行各种任务,包括图像思维和问题解决;另一种则称为交互作用,它控制,与环境进行通信并检查环境。在此框架的基础上,我们进一步讨论了通过综合推理进行设计智能化的可能性。

更新日期:2020-04-30
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