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| Presentation | 2019-03-07 16:15 On the possibility of learning the order relation of familial resemblance clusters based on Information theoretic scale -- What is mean by "Defining the rewards of Bayesian inverse reinforcement learning as family resenblence"? -- Tetsuya Morizumi (KU)  SITE2018-76 IA2018-68 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we present an approach to incorporate the viewpoint of <mind> into an artificial intelligent system. To the question "How each mind interprets others'", “family resemblance” in Wittgenstein's language game and concepts of “Riken-no-ken (sight outside of sight)” used in Ze’ami’s treatise on Noh are designed by probabilistic models .Those who exist as stochastic variables appear as family resemblance. But on the other hand, its existence must be reconstructed from the pre-order text group to the total order cluster. The requirements for this are as follows: "The process of learning the probability distribution of the random variable that becomes the boundary of the familial resemblance clusters of texts", that is, "the process of generating a set of deterministic texts that satisfies the axiom of order relation" is stochastically analyzed . It extracts rules of order relation satisfying the familial resemblance from a large amount of text. That is, by analyzing clusters of texts having partial-order relation and total-order relationship property, the order relation of decision world is derived from stochastic world. Family similarity of probability distribution is evaluated by order relation of information theoretic scale. In this paper, we show a graphical model of Supervised Bayesian Inverse Reinforcement Learning (S - BIRL) using supervised data. S - BIRL is a model that interprets the potential random variable of Blei 's supervised LDA as a potential parameter of reinforcement learning actions and interprets Ramage' s Labeled LDA as a label of reinforcement learning state S. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Artificial intelligence / probabilistic model / supervised inverse reinforcement learning / supervised LDA / pre-order / partial-order / family resemblance / Wittgenstein | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 480, SITE2018-76, pp. 133-140, March 2019. | |
| Paper # | SITE2018-76 | |
| Date of Issue | 2019-02-28 (SITE, IA) | |
| 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 | SITE2018-76 IA2018-68 |
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| Conference Information | |
| Committee | IA SITE IPSJ-IOT |
| Conference Date | 2019-03-07 - 2019-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Grand XIV Naruto |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet and Information Ethics Education, etc. |
| Paper Information | |
| Registration To | SITE |
| Conference Code | 2019-03-IA-SITE-IOT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the possibility of learning the order relation of familial resemblance clusters based on Information theoretic scale |
| Sub Title (in English) | What is mean by "Defining the rewards of Bayesian inverse reinforcement learning as family resenblence"? |
| Keyword(1) | Artificial intelligence |
| Keyword(2) | probabilistic model |
| Keyword(3) | supervised inverse reinforcement learning |
| Keyword(4) | supervised LDA |
| Keyword(5) | pre-order |
| Keyword(6) | partial-order |
| Keyword(7) | family resemblance |
| Keyword(8) | Wittgenstein |
| 1st Author's Name | Tetsuya Morizumi |
| 1st Author's Affiliation | Kanagawa University (KU) |
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| Speaker | Author-1 |
| Date Time | 2019-03-07 16:15:00 |
| Presentation Time | 25 minutes |
| Registration for | SITE |
| Paper # | SITE2018-76, IA2018-68 |
| Volume (vol) | vol.118 |
| Number (no) | no.480(SITE), no.481(IA) |
| Page | pp.133-140 |
| #Pages | 8 |
| Date of Issue | 2019-02-28 (SITE, IA) |
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