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| Presentation | 2021-01-19 11:20 A Study on AI's Degree of General Purpose Towards Realizing AGI by Adaptive Selection of Narrow AIs Masumi Kurono, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.)  IN2020-52 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | As the performance of computers has improved, many researches on Artificial Intelligence (AI) have been conducted as an attempt to reproduce human intelligence on machines. In recent years, with the advent of DeepLearning, several researches on AI have achieved results that their AI has outperformed human intelligence to a limited extent. However, these results are only in a limited scope, and it does not mean that AI has been enabled to do general-purpose thinking like human intelligence. To reproduce human intelligence on machines, it is necessary to conduct research on Artificial General Intelligence (AGI), that is, AI which has general-purpose intelligence. Therefore, towards realizing AGI, this paper studies AGI with general-purpose versatility for multiple tasks, by adaptively selecting specialized AIs for each task and processing each task as its specialized AI. In addition, to evaluate AGI not only qualitatively but also quantitatively, this paper defines three kinds of AI's Degree of General purpose (iDoG) as a criterion for general-purpose versatility of AI, and finally, evaluates a prototype of selection-based AGI with respect to general-purpose versatility by using the defined three kinds of AI's degree of general purpose, and also evaluates the defined three kinds of AI's degree of general purpose themselves by examining the evaluation of the prototype of selection-based AGI. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Artificial General Intelligence / Selection-based AGI / Degree of General Purpose / Game AI / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 311, IN2020-52, pp. 49-54, Jan. 2021. | |
| Paper # | IN2020-52 | |
| Date of Issue | 2021-01-11 (IN) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | IN2020-52 |
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| Conference Information | |
| Committee | IN |
| Conference Date | 2021-01-18 - 2021-01-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2021-01-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on AI's Degree of General Purpose Towards Realizing AGI by Adaptive Selection of Narrow AIs |
| Sub Title (in English) | |
| Keyword(1) | Artificial General Intelligence |
| Keyword(2) | Selection-based AGI |
| Keyword(3) | Degree of General Purpose |
| Keyword(4) | Game AI |
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| 1st Author's Name | Masumi Kurono |
| 1st Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 2nd Author's Name | Komei Arasawa |
| 2nd Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
| 3rd Author's Name | Shun Hattori |
| 3rd Author's Affiliation | Muroran Institute of Technology (Muroran Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2021-01-19 11:20:00 |
| Presentation Time | 25 minutes |
| Registration for | IN |
| Paper # | IN2020-52 |
| Volume (vol) | vol.120 |
| Number (no) | no.311 |
| Page | pp.49-54 |
| #Pages | 6 |
| Date of Issue | 2021-01-11 (IN) |
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