Presentation | 2008-06-19 A Robot Control Method Based on Granularity Generated from Rough Sets Seiki UBUKATA, Yasuo KUDO, Tetsuya MURAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we discuss how we can processing information from a point of view of rough-set-based granularity. This study aims to solve conflict resolution problem in Behavior-Based AI based on granularity. As an example, we deal with the robot's garbage collection problem. This robot solves conflict resolution problem by using if-then rules and a network among if-then rules. The solution is equivalent to approximating the concept of action from finite knowledge. Then, we interpret how the lower and the upper approximation can be generated by the network among if-then rules. We also consider use of variable precision rough set model when we cannot obtain the lower approximation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Rough set / Granularity / Behavior-Based AI |
Paper # | DE2008-5,PRMU2008-23 |
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Committee | DE |
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Conference Date | 2008/6/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Robot Control Method Based on Granularity Generated from Rough Sets |
Sub Title (in English) | |
Keyword(1) | Rough set |
Keyword(2) | Granularity |
Keyword(3) | Behavior-Based AI |
1st Author's Name | Seiki UBUKATA |
1st Author's Affiliation | Graduate School of Information Science and Technology() |
2nd Author's Name | Yasuo KUDO |
2nd Author's Affiliation | Department of Computer Science and Systems Engineering, Muroran Institute of Technology |
3rd Author's Name | Tetsuya MURAI |
3rd Author's Affiliation | Graduate School of Information Science and Technology |
Date | 2008-06-19 |
Paper # | DE2008-5,PRMU2008-23 |
Volume (vol) | vol.108 |
Number (no) | 93 |
Page | pp.pp.- |
#Pages | 5 |
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