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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/68329
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/68329

    Title: Semantic Ideation Learning for Agent-Based e-Brainstorming
    Authors: 苑守慈
    Yuan, Soe-Tsyr;Chen, Yen-Chuan
    Contributors: 資管系
    Keywords: E-brainstorming;intelligent agents;ontology;Q-learning
    Date: 2008-02
    Issue Date: 2014-08-06 14:01:40 (UTC+8)
    Abstract: 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.
    Relation: IEEE Transactions on Knowledge and Data Engineering, 20(2), 261-275
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1109/TKDE.2007.190687
    DOI: 10.1109/TKDE.2007.190687
    Appears in Collections:[資訊管理學系] 期刊論文

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