An Efficient Agent Execution Control Method for Content-Based Information Retrieval with Time Constraints
Summary :
Networks have gotten bigger recently, and users have a more difficult time finding the information that they want. The use of mobile agents to help users effectively retrieve information has garnered a lot of attention. In this paper, we propose an agent control method for time constrained information retrieval. We pay attention to the highest past score gained by the agents and control the agents with the expectation of achieving better scores. Using computer simulations, we confirmed that our control method gave the best improvement over the whole network while reducing the overall variance. From these results, we can say that our control method improves the quality of information retrieved by the agent.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.7 pp.1892-1900
- Publication Date
- 2011/07/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.1892
- Type of Manuscript
- PAPER
- Category
- Network System
Authors
Keyword
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Kazuhiko KINOSHITA, Atsushi NARISHIGE, Yusuke HARA, Nariyoshi YAMAI, Koso MURAKAMI, "An Efficient Agent Execution Control Method for Content-Based Information Retrieval with Time Constraints" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 7, pp. 1892-1900, July 2011, doi: 10.1587/transcom.E94.B.1892.
Abstract: Networks have gotten bigger recently, and users have a more difficult time finding the information that they want. The use of mobile agents to help users effectively retrieve information has garnered a lot of attention. In this paper, we propose an agent control method for time constrained information retrieval. We pay attention to the highest past score gained by the agents and control the agents with the expectation of achieving better scores. Using computer simulations, we confirmed that our control method gave the best improvement over the whole network while reducing the overall variance. From these results, we can say that our control method improves the quality of information retrieved by the agent.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.1892/_p
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@ARTICLE{e94-b_7_1892,
author={Kazuhiko KINOSHITA, Atsushi NARISHIGE, Yusuke HARA, Nariyoshi YAMAI, Koso MURAKAMI, },
journal={IEICE TRANSACTIONS on Communications},
title={An Efficient Agent Execution Control Method for Content-Based Information Retrieval with Time Constraints},
year={2011},
volume={E94-B},
number={7},
pages={1892-1900},
abstract={Networks have gotten bigger recently, and users have a more difficult time finding the information that they want. The use of mobile agents to help users effectively retrieve information has garnered a lot of attention. In this paper, we propose an agent control method for time constrained information retrieval. We pay attention to the highest past score gained by the agents and control the agents with the expectation of achieving better scores. Using computer simulations, we confirmed that our control method gave the best improvement over the whole network while reducing the overall variance. From these results, we can say that our control method improves the quality of information retrieved by the agent.},
keywords={},
doi={10.1587/transcom.E94.B.1892},
ISSN={1745-1345},
month={July},}
Copy
TY - JOUR
TI - An Efficient Agent Execution Control Method for Content-Based Information Retrieval with Time Constraints
T2 - IEICE TRANSACTIONS on Communications
SP - 1892
EP - 1900
AU - Kazuhiko KINOSHITA
AU - Atsushi NARISHIGE
AU - Yusuke HARA
AU - Nariyoshi YAMAI
AU - Koso MURAKAMI
PY - 2011
DO - 10.1587/transcom.E94.B.1892
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2011
AB - Networks have gotten bigger recently, and users have a more difficult time finding the information that they want. The use of mobile agents to help users effectively retrieve information has garnered a lot of attention. In this paper, we propose an agent control method for time constrained information retrieval. We pay attention to the highest past score gained by the agents and control the agents with the expectation of achieving better scores. Using computer simulations, we confirmed that our control method gave the best improvement over the whole network while reducing the overall variance. From these results, we can say that our control method improves the quality of information retrieved by the agent.
ER -
English
