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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Experience of Crowds as a Guarantee for Safe Artificial Self
| Title: | Experience of Crowds as a Guarantee for Safe Artificial Self |
| Authors: | Rzepka, Rafal Browse this author →KAKEN DB | | Araki, Kenji Browse this author |
| Issue Date: | 22-Mar-2014 |
| Publisher: | AAAI |
| Journal Title: | Tech. Reports from AAAI Spring Symposium on Implementing Selves with Safe Motivational Systems & Self-Improvement |
| Start Page: | 40 |
| End Page: | 44 |
| Abstract: | In this paper we introduce an approach for achieving a self that is able to simulate average ethical intuitions by retrieving knowledge about human behavior from the Internet resources. We show how applying text mining techniques could be useful for virtual and physical agents which base their knowledge on natural language. We discuss the importance of empathy and pros and cons of crowd experience based algorithm, then we introduce our thoughts on possibility of manufacturing agents for particular purposes as behavior analyzers or moral advisors which could refer to millions of different experiences had by people in various cultures. We think such systems could lead to selves that are capable to non-biased decisions morally superior to these of average human. |
| Conference Name: | 2014 AAAI Spring Symposium |
| Conference Place: | Palo Alto, CA |
| Type: | proceedings |
| URI: | http://hdl.handle.net/2115/63634 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: RZEPKA Rafal
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