整合BDI代理人與大數據;Integrating BDI Agent with Big Data

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/73003

Title:	整合BDI代理人與大數據;Integrating BDI Agent with Big Data
Authors:	鄭博懷;Cheng, Po-Huai
Contributors:	資訊工程學系
Keywords:	代理人導向程式;BDI 代理人;大數據;agent-oriented programming;BDI agent;big data
Date:	2017-01-16
Issue Date:	2017-05-05 17:38:14 (UTC+8)
Publisher:	國立中央大學
Abstract:	近年來由於物聯網和社群媒體網路服務的蓬勃發展，使得大數據分析受到重視。而代理人導向程式 (agent-oriented programming, AOP) 做為具有分散式功能和自主性的開發方式，被認為能有效降低開發未來應用程式的複雜度。然而，AOP 卻沒有被廣泛使用，本研究發現問題在於: 信念-慾望-意圖 (belief-desire-intention, BDI) 代理人沒有統一的基本概念。本研究探討了 Jason , Jadex 和 BDI4JADE，討論各平台的優劣，並且反思 AOP 不被廣泛使用的原因，從而以 Java 代理人開發框架 (Java agent development framework, JADE)為基礎，實作出包含輕量型 BDI 架構的代理人平台，並結合大數據平台 Hadoop ，展示出本系統能容易的開發出網路分散式服務。;Based on the developments of internet of things (IoT) and network services like social media network, big data analysis becomes more and more popular. Agent-oriented programming (AOP) has been regarded that it can effectively reduce the complexity of developing future applications. However, AOP is not widely accepted. We argued the reason for that is that the basic concept of belief-desire-intention (BDI) is not universally accepted by the agent community. In this research, we discussed the advantages and shortcomings of current BDI agent platforms like Jason, Jadex and BDI4JADE. And, we articulated about the reason why AOP is not widely accepted. Then, we implemented a system based on Java agent development framework (JADE) that combines a lightweight BDI model and a big data platform Hadoop to demonstrate that our system can easily develop a distributed network service application.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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