Full metadata
Title
Neuro Symbolic Artificial Intelligence Pioneer to Overcome the Limits of Machine Learn
Description
With the recent boom in artificial intelligence, various learning methods and information are pouring out. However, there are many abbreviations and jargons to read without knowing the history and development trend of artificial intelligence, which is a barrier to entry. This study predicts the future development direction by synthesizing the concept of Neuro symbolic AI, which is a new direction of artificial intelligence, the history of artificial intelligence from which such concept came out, and applied studies, and by synthesizing and summarizing the limitations of the current research projects. It is a guide for those who want to study neural symbols. In this paper, it describes the history of artificial intelligence and the historical background of the emergence of neural symbols. In the development trend, the challenges faced by the neural symbolic, measures to overcome, and the Neuro Symbolic A.I. applied in various fields are described. (Knowledge based Question Answering, VQA(Visual Question Answering), image retrieve, etc.). It predicts the future development direction of neuro symbolic artificial intelligence based on the contents obtained through previous studies.
Date Created
2021
Contributors
- Choy, Kumhee (Author)
- Yang, Yezhou (Thesis advisor)
- Yang, Yingzhen (Committee member)
- Bansal, Ajay (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
37 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.161869
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2021
Field of study: Computer Science
System Created
- 2021-11-16 04:48:31
System Modified
- 2021-11-30 12:51:28
- 2 years 11 months ago
Additional Formats