CLC number: TP18
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-12-23
Cited: 0
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Lei Xu. Learning deep IA bidirectional intelligence[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(4): 558-562.
@article{title="Learning deep IA bidirectional intelligence",
author="Lei Xu",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="21",
number="4",
pages="558-562",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900541"
}
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900541
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T1 - Learning deep IA bidirectional intelligence
A1 - Lei Xu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 21
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%@ 2095-9184
Y1 - 2020
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1900541
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.
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