自動化創新管理：演化計算方法的應用

Automatic Management of Innovation: The Application of Evolutional Computation Method

10.6378/JTM.200606.0097

陳樹衡(Shu-Heng Chen)；池秉聰(Bin-Tzong Chie)

客戶關係管理CRM ； 遺傳規劃GP ； 遺傳程式GA ； 複雜調適性行為 ； Custom Relationship Management CRM ； Genetic Programming GP ； Genetic Algorithms GA ； Complex Adaptive Behaviors

科技管理學刊

11卷2期（2006 / 06 / 01）

97 - 125

繁體中文

拜科技進步之賜，地球上的資源對人類而言相對富饒。馬爾薩斯人口論的威脅早已經不再存在，新的問題不再是生存與否的問題，取而代之的是如何用新的技術產生更大的能量。當生存的資源已經不再缺乏，科技如何取悅人類的偏好成了一個重要的關鍵。這篇文章主要討論科技的創新如何迎合消費者的偏好，進而在市場中成功的擴散開。生產者透過客戶關係管理(CRM, Customer Relationship Management)即時建立創新的來源，加上遺傳規劃(GP, Genetic Programming)以及遺傳程式(GA, Genetic Algorithms)的機制，透過功能性模組自動化產生具有創新意義的商品。這樣的特性如同生物對環境適應的演化，在複雜的調適性行為下成功的物種和生產者最後都可以找到自己的利基，繁衍和強大。藉由模擬所產生出的豐富數據可以讓我們加速瞭解及分析廠商的興衰，重現這些成敗背後的差異及原因。

Thanks to the progression of technology; the resources on our planet are relatively abundant. The threat of Malthusian Population Theory does no longer exist. However, today's problem is not how to survive, but how to use new technology to produce more energy. When the problem of scarceness is mitigated, how to please the preference of human being becomes more and more critical in the technology issue. This paper is to discuss how technological innovations meet the preferences of consumers and successfully diffuse in the market. The key is the producers' building real-time innovation ideas via the interface of customer relationship management (CRM), with the methods of evolutional computation-the genetic programming (GP) and genetic algorithms (GA), which help the producers to create innovative products automatically. The idea of such mechanism comes from thriving species' complex adaptive behaviors to find their niches in the dynamic environments. We use simulations with plentiful data to help us replicate producers' successes and failures, and understand the reasons.

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