現在物聯網系統蓬勃發展，需要更有效率的方式來開發極度分散的系統，並處理暴增的資訊量。我們認為多代理人系統適合這類型的應用，然而代理人導向的開發方式卻仍未被多數人使用，我們將之歸咎於現有代理人思考模組的低重用性與開發平台的低延展性。

多數的代理人開發平台除了以通用的程式語言來撰寫之外，通常還使用其他較為新穎的程式語言或以XML表達的Domain-Specific Language，使得較為進階的應用無法實作，許多既有的library和framework也難以整合，長久下來使得AOP無法被廣泛的接受。

本研究以Java agent development framework (Jade)作為平台，在其上層實作輕量級的belief-desire-intention (BDI) model來賦予代理人思考能力， 如此提高了代理人邏輯思考的重用性；它能夠在任何Java開發平台使用增加了代理人系統的延展性。

With the flourish of internet of things (IOT) system, we need an efficient way to develop distributed systems with explosive information. We argue that multi-agent system is very suitable for this kind of applications. However, agent-oriented programming (AOP) is still not the major paradigm of development. We figure the problem is the low reusability and the low extensibility with AOP.

Usually, besides common programming language, most AOP also uses other new programming language or domain-specific language. This makes some advanced AOP features difficult to implement. The binding of libraries and frameworks sometimes is also difficult. AOP is thus not widely accepted.

In our research, we implemented a lightweight belief-desire-intention (BDI) model on the Java agent development framework (Jade) platform to enable an agent to think. As a result, the agent thinking module is more reusable. Furthermore, the BDI model, which can be used on any Java development platform, also increases the extensibility of agent system. With such power, it is hoped that AOP can be more widely used than it is now.

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