The design and implementation for evolving agent model
碩士 === 輔仁大學 === 資訊工程學系 === 90 === Due to the development of Internet makes data accessible at any time and any place. The software agent has been widely adopted in the application area. As numerous agents are roaming through the Internet, they compete to achieve their goal. In the end, so...
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ndltd-TW-090FJU003920132015-10-13T17:39:44Z http://ndltd.ncl.edu.tw/handle/40596573697620405582 The design and implementation for evolving agent model 演進式代理人的設計與實作 Lien Yung-Lung 連永龍 碩士 輔仁大學 資訊工程學系 90 Due to the development of Internet makes data accessible at any time and any place. The software agent has been widely adopted in the application area. As numerous agents are roaming through the Internet, they compete to achieve their goal. In the end, some of them will succeed, while the others will fail. However, when agents are initially created, they have little knowledge and experience with relatively lower capability. They should also strive to adapt themselves to the changing environment. It is advantageous if they have the ability to learn and evolve. This paper addresses evolution of software agents. Agent fitness and fuzzy multi-criteria decision-making approach are proposed as evolution mechanisms, and goal-driven use case and fuzzy soft goal is introduced to facilitate the evolution process. Genetic programming operators are employed to restructure agents in the proposed multi-agent evolution cycle. Kuo Jong Yih 郭忠義 2002 學位論文 ; thesis 49 zh-TW |
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碩士 === 輔仁大學 === 資訊工程學系 === 90 === Due to the development of Internet makes data accessible at any time and any place. The software agent has been widely adopted in the application area. As numerous agents are roaming through the Internet, they compete to achieve their goal. In the end, some of them will succeed, while the others will fail. However, when agents are initially created, they have little knowledge and experience with relatively lower capability. They should also strive to adapt themselves to the changing environment. It is advantageous if they have the ability to learn and evolve.
This paper addresses evolution of software agents. Agent fitness and fuzzy multi-criteria decision-making approach are proposed as evolution mechanisms, and goal-driven use case and fuzzy soft goal is introduced to facilitate the evolution process. Genetic programming operators are employed to restructure agents in the proposed multi-agent evolution cycle.
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Kuo Jong Yih |
author_facet |
Kuo Jong Yih Lien Yung-Lung 連永龍 |
author |
Lien Yung-Lung 連永龍 |
spellingShingle |
Lien Yung-Lung 連永龍 The design and implementation for evolving agent model |
author_sort |
Lien Yung-Lung |
title |
The design and implementation for evolving agent model |
title_short |
The design and implementation for evolving agent model |
title_full |
The design and implementation for evolving agent model |
title_fullStr |
The design and implementation for evolving agent model |
title_full_unstemmed |
The design and implementation for evolving agent model |
title_sort |
design and implementation for evolving agent model |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/40596573697620405582 |
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