| Presentation | 2007/3/7 Agent-Based Simulation to Analyze Business Office Activities using Reinforcement Learning Yukinao KENJO, Takashi YAMADA, Takao TERANO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper attempts to clarify organizational behavior in corporative organizations by agent-based simulations. We focus attention on both the roles of manages and the initiatives of staffs, and then model them using agent-based model concepts. This enables us to investigate phenomena in organizations at micro-level and macro-level. Besides, we formulate the task processing of each member in real organizations as learning for maze problem. The advantages of applying maze problem for our simulation model are as follows: It is possible to describe agents who acquire skills by reinforcement learning and to represent environmental uncertainty by changing block placements dynamically. Several computational experiments clarify what the whole organization behaves from microscopic points of view. At the same time, the authors confirm that the ability to adapt environments under uncertainty is different from the characters of organization. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Agent-Based Simulation / Computational Organization Theory / Reinforcement Learning |
| Paper # | AI2006-35 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2007/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Agent-Based Simulation to Analyze Business Office Activities using Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | Agent-Based Simulation |
| Keyword(2) | Computational Organization Theory |
| Keyword(3) | Reinforcement Learning |
| 1st Author's Name | Yukinao KENJO |
| 1st Author's Affiliation | Department of Computational Intelligence and System Science, Tokyo Institute of Technology() |
| 2nd Author's Name | Takashi YAMADA |
| 2nd Author's Affiliation | Department of Computational Intelligence and System Science, Tokyo Institute of Technology |
| 3rd Author's Name | Takao TERANO |
| 3rd Author's Affiliation | Department of Computational Intelligence and System Science, Tokyo Institute of Technology |
| Date | 2007/3/7 |
| Paper # | AI2006-35 |
| Volume (vol) | vol.106 |
| Number (no) | 585 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |