Combining BDI Agent with Web Crawler

碩士 === 國立中央大學 === 資訊工程學系 === 104 === How to deal with the huge information and pick-up the useful information for a user in this big data era? We take an approach to combining web crawler with multi-agent systems, which is regarded as a suitable way to develop an intelligent software system.   This...

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Main Authors: Jing-Ru Tsai, 蔡京儒
Other Authors: Jen-Yen Chen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/81206412170578655278
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spelling ndltd-TW-104NCU053920242017-07-09T04:30:32Z http://ndltd.ncl.edu.tw/handle/81206412170578655278 Combining BDI Agent with Web Crawler 結合 BDI 代理人與網路爬蟲 Jing-Ru Tsai 蔡京儒 碩士 國立中央大學 資訊工程學系 104 How to deal with the huge information and pick-up the useful information for a user in this big data era? We take an approach to combining web crawler with multi-agent systems, which is regarded as a suitable way to develop an intelligent software system.   This research uses Java agent development framework (JADE) as the underlying platform, upon which the belief-desire-intention (BDI) model is added to empower agents with thinking ability. Further, we used web crawler to crawl web page information that a particular agent needs. Combining BDI agent with web crawler thus forms our model.   The advantage of this approach is that the web page search strategy of this BDI agent+Crawler can adjust dynamically according to the change of the environment. This makes an agent browse web page information in the way just like a real person. Jen-Yen Chen 陳振炎 2016 學位論文 ; thesis 60 zh-TW
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description 碩士 === 國立中央大學 === 資訊工程學系 === 104 === How to deal with the huge information and pick-up the useful information for a user in this big data era? We take an approach to combining web crawler with multi-agent systems, which is regarded as a suitable way to develop an intelligent software system.   This research uses Java agent development framework (JADE) as the underlying platform, upon which the belief-desire-intention (BDI) model is added to empower agents with thinking ability. Further, we used web crawler to crawl web page information that a particular agent needs. Combining BDI agent with web crawler thus forms our model.   The advantage of this approach is that the web page search strategy of this BDI agent+Crawler can adjust dynamically according to the change of the environment. This makes an agent browse web page information in the way just like a real person.
author2 Jen-Yen Chen
author_facet Jen-Yen Chen
Jing-Ru Tsai
蔡京儒
author Jing-Ru Tsai
蔡京儒
spellingShingle Jing-Ru Tsai
蔡京儒
Combining BDI Agent with Web Crawler
author_sort Jing-Ru Tsai
title Combining BDI Agent with Web Crawler
title_short Combining BDI Agent with Web Crawler
title_full Combining BDI Agent with Web Crawler
title_fullStr Combining BDI Agent with Web Crawler
title_full_unstemmed Combining BDI Agent with Web Crawler
title_sort combining bdi agent with web crawler
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/81206412170578655278
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