基于多智能体的智能个人研究助手

A. Karunananda, Thushari P. Silva, Dewmal Handapangoda, Sadika Sumanapala
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引用次数: 0

摘要

从很早开始,研究就为人类的发展提供了动力。尽管人们已经开发了许多研究方法,包括科学方法、里程碑方法和IMRD,但研究行为仍然是一个挑战。我们检查了各种研究方法,发现阅读和写作是所有研究方法的基础,无论是新手还是有经验的研究人员。甚至在正式承认我们今天所说的研究方法之前,这种做法就已经实行了。我们开发了智能个人研究助理InPRA,指导研究人员系统地阅读过去的研究论文,更重要的是,在进行研究的同时,制定研究提案,进度报告,论文和论文,而不是等到最后一刻。而InPRA是基于研究的阅读-写作模式,在InPRA中,研究人员可以访问研究管理工具、科学写作工具、具体的研究方法等资源。InPRA已被开发为多代理系统,以使研究过程中的步骤之间的交互超越顺序处理。研究学生和经验丰富的研究人员,如导师,已经评估了InPRA的指导,以生成项目提案的材料,这是研究过程中的第一个文件。评价结果表明,基于多agent的InPRA搜索方法优于传统的基于文本的搜索方法。此外,基于调查结果,该系统对研究人员非常有用,因为它产生了更多相关的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi Agent Based Intelligent Personal Research Assistant
Since the very early days, developments of mankind have been energized by research. Despite people having developed many research methods, including Scientific Method, Milestone Approach, and IMRD, research conduct remains a challenge. We have examined various research methods and discovered reading and writing as the foundation of all research methods regardless of a novice or an experienced researcher. This was practised even before formally acknowledging what we called research methods today. We developed an Intelligent Personal Research Assistant, InPRA, which guides a researcher in systematically reading past research papers and, more importantly, developing research proposals, progress reports, thesis, and papers while doing the research, without waiting for the last moment. While InPRA is based on the reading-writing model of research, within InPRA, a researcher can access research management tools, scientific writing tools, specific research methods and other resources. InPRA has been developed as Multi Agent System to enable interaction among the steps in the research process beyond sequential processing. Research students and experienced researchers like supervisors have evaluated the guidance of InPRA to generate material for a project proposal, which is the first document in a research process. According to the evaluation results, the multi-agent-based approach in InPRA could outperform traditional text-based search approaches. Moreover, based on survey results, the system is very useful for researchers as it generates more relevant results.
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