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Paper Abstract and Keywords
Presentation 2017-09-19 15:45
Analysis of AlphaGo from a Point of View of AI-Informatics -- Significance of Go Becoming Science --
Haruki Ueno (NII) KBSE2017-25
Abstract (in Japanese) (See Japanese page) 
(in English) AlphaGo has brought a surprise and shocks to the Go world and society. While from the viewpoint of AI informatics, I think there is an important significance that Go has become science. Plays of Human professional Go players and AlphaGo have been analyzed and discussed by professional Go players and AI researchers from their point of views respectively. Discussions by professional Go players seem to be rather human-like way of AlphaGo’s playing, such that AlphaGo would plays almost a human. While AI scientists’ discussion are concentrated on technical approach that has achieved such a high performance in Go playing of AlphGo. This paper focuses on the significance of Go that becomes Science through AlphaGo. Over the long history of Go, the knowledge of Go play is discovered by human beings through thousands of years of playing Go games and systematization efforts. One of disadvantage of this approach is as well known a missing of key knowledge witch results in incompleteness of the knowledge. New AI and ICT technologies used in developing AlphaGo demonstrated the power of Scientific approach in Go by winning in So game between AlphaGo and top professional Go players. In the paper I would like to discuss some future social issues derived by over-expectations of AI based on Deep Learning oriented Machine Learning technologies those are beginning to apply to the society from the point of views of a mid-level Go yudan player and AI scientist.
Keyword (in Japanese) (See Japanese page) 
(in English) AlphaGo / AI-Go / Go / Deep Learning / Convolutional Neural Network / Machine Learning / Enforced Learning / AI  
Reference Info. IEICE Tech. Rep., vol. 117, no. 214, KBSE2017-25, pp. 25-30, Sept. 2017.
Paper # KBSE2017-25 
Date of Issue 2017-09-12 (KBSE) 
ISSN Print edition: ISSN 0913-5685    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 KBSE2017-25

Conference Information
Committee KBSE  
Conference Date 2017-09-19 - 2017-09-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Doshisha Univ. Tokyo Branch Office 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2017-09-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of AlphaGo from a Point of View of AI-Informatics 
Sub Title (in English) Significance of Go Becoming Science 
Keyword(1) AlphaGo  
Keyword(2) AI-Go  
Keyword(3) Go  
Keyword(4) Deep Learning  
Keyword(5) Convolutional Neural Network  
Keyword(6) Machine Learning  
Keyword(7) Enforced Learning  
Keyword(8) AI  
1st Author's Name Haruki Ueno  
1st Author's Affiliation National Institute of Informatics (NII)
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Speaker Author-1 
Date Time 2017-09-19 15:45:00 
Presentation Time 45 minutes 
Registration for KBSE 
Paper # KBSE2017-25 
Volume (vol) vol.117 
Number (no) no.214 
Page pp.25-30 
#Pages 6 
Date of Issue 2017-09-12 (KBSE) 

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