會議論文
學年 | 106 |
---|---|
學期 | 1 |
發表日期 | 2017-11-15 |
作品名稱 | Evolutionary programming of product design policies. An agent-based model study |
作品名稱(其他語言) | |
著者 | Ben Vermeulen; Bin-Tzong Chie; Shu-Heng Chen; Andreas Pyka |
作品所屬單位 | |
出版者 | |
會議名稱 | 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems |
會議地點 | Hanoi, Vietnam |
摘要 | The new product development and operational marketing literature grapples with incorporation of uncertainty on the market and technological structure discovered over time. In contrast, market and technological uncertainty is at the heart of neo-Schumpeterian agent-based models used in evolutionary innovation economics. We present a novel agent-based model in which designer agents design products to cater to services desired by user agents. In this model, designers imitate and experiment with design policies with which they engage in contests to puzzle together products. This model thus `evolutionary programs' a commendable design policy for the given market and technological structure. We experimentally vary the segmentation of the market and the density of technological relationships ex ante unknown to designer agents and then study the emerging `winning' design policies. Preliminary simulation results reveal that there is no `one-size-fits-all' design policy, but that winning design policies are tailored to the structure of market and technology following particular rationales. Given that we present a novel model, we critically reflect on the operationalizations and propose further refinements. |
關鍵字 | |
語言 | en_US |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | 無 |
研討會時間 | 20171115~20171117 |
通訊作者 | |
國別 | VNM |
公開徵稿 | |
出版型式 | |
出處 | 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES) |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116391 ) |