深度IA双向智能

徐雷

doi:10.1631/FITEE.1900541

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深度IA双向智能

常规文章 | Updated：2022-05-19

- 深度IA双向智能
- Learning deep IA bidirectional intelligence
- 信息与电子工程前沿（英文） 2020年21卷第4期页码：558-562
- Affiliations：
  
  Centre for Cognitive Machines and Computational Health (CMaCH), School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  Neural Computation Research Centre, Brain and Intelligence Sci-Tech Institute, Zhangjiang Lab, Shanghai 201210, China
- Author bio：
  
  [ "Lei XU, E-mail: lxu@cs.sjtu.edu.cn" ]
- Funds：
  
  the National New Generation Artificial Intelligence Project, China(2018AAA0100700);the Zhiyuan Chair Professorship Start-up Grant from Shanghai Jiao Tong University, China(WF220103010)
- DOI：10.1631/FITEE.1900541
  中图分类号： TP18
- 收稿：2019-09-30，
  
  修回：2019-12-23，
  
  纸质出版：2020-04
- Accepted：
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徐雷. 深度IA双向智能[J]. 信息与电子工程前沿（英文）, 2020,21(4):558-562.

XU Lei. Learning deep IA bidirectional intelligence[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 558-562.
徐雷. 深度IA双向智能[J]. 信息与电子工程前沿（英文）, 2020,21(4):558-562. DOI： 10.1631/FITEE.1900541.

XU Lei. Learning deep IA bidirectional intelligence[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 558-562. DOI： 10.1631/FITEE.1900541.

摘要

Abstract

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.

关键词

Keywords

references

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