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題名 Semantic Ideation Learning for Agent-Based e-Brainstorming
作者 苑守慈
Yuan, Soe-Tsyr ; Chen, Yen-Chuan
貢獻者 資管系
關鍵詞 E-brainstorming; intelligent agents; ontology; Q-learning
日期 2008-02
上傳時間 6-Aug-2014 14:01:40 (UTC+8)
摘要 Brainstorming has been a solution that helps organizations to generate creative ideas through teamwork and collaboration. However, by far, the role of information technology in brainstorming is merely like an assistant that passively supports the progression of brainstorming sessions instead of proactively engaging in the sessions. This research combines human`s unique association thinking with the intelligent agent technique, devising an automated decision agent called Semantic Ideation Learning Agent (SILA) that can represent a session participant to actively participate in brainstorming. SILAs are grounded on the three association capabilities of human`s thinking (similarity, contiguity, contrast). Moreover, a Collective Brainstorming Decision System (CBDS) is built to furnish an environment where SILAs can learn and share their knowledge with each other. We have successfully integrated CBDS into an intelligent care project (iCare) for the purpose of innovated e-service recommendation. The evaluation results are fairly promising.
關聯 IEEE Transactions on Knowledge and Data Engineering, 20(2), 261-275
資料類型 article
DOI http://dx.doi.org/10.1109/TKDE.2007.190687
dc.contributor 資管系en_US
dc.creator (作者) 苑守慈zh_TW
dc.creator (作者) Yuan, Soe-Tsyr ; Chen, Yen-Chuan-
dc.date (日期) 2008-02en_US
dc.date.accessioned 6-Aug-2014 14:01:40 (UTC+8)-
dc.date.available 6-Aug-2014 14:01:40 (UTC+8)-
dc.date.issued (上傳時間) 6-Aug-2014 14:01:40 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/68329-
dc.description.abstract (摘要) Brainstorming has been a solution that helps organizations to generate creative ideas through teamwork and collaboration. However, by far, the role of information technology in brainstorming is merely like an assistant that passively supports the progression of brainstorming sessions instead of proactively engaging in the sessions. This research combines human`s unique association thinking with the intelligent agent technique, devising an automated decision agent called Semantic Ideation Learning Agent (SILA) that can represent a session participant to actively participate in brainstorming. SILAs are grounded on the three association capabilities of human`s thinking (similarity, contiguity, contrast). Moreover, a Collective Brainstorming Decision System (CBDS) is built to furnish an environment where SILAs can learn and share their knowledge with each other. We have successfully integrated CBDS into an intelligent care project (iCare) for the purpose of innovated e-service recommendation. The evaluation results are fairly promising.en_US
dc.format.extent 3832333 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) IEEE Transactions on Knowledge and Data Engineering, 20(2), 261-275en_US
dc.subject (關鍵詞) E-brainstorming; intelligent agents; ontology; Q-learningen_US
dc.title (題名) Semantic Ideation Learning for Agent-Based e-Brainstormingen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1109/TKDE.2007.190687en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1109/TKDE.2007.190687 en_US