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Multi- Agent- Based Intelligent Answering System

Author: Ming
Tutor: WangChunZhi
School: Hubei University of Technology
Course: Applied Computer Technology
Keywords: Intelligent Answering Agent Constructivism Natural language Personalized recommendation technology
CLC: TP311.52
Type: Master's thesis
Year: 2009
Downloads: 84
Quote: 1
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Abstract


As information technology and network technology to quickly update, the rapid development of modern distance education, the field of modern education has become an important part of the education sector and the computer industry caused a great deal of attention. Answering System is the modern distance education essential to the process as an integral part, has played a major role to support teaching. However, the existing intelligent Q \u0026 A system exists most poor student interaction means a single, lack of independence and personalization issues, stimulate learner initiative and enthusiasm have yet to be further improved, this modern distance education there is a certain gap between expected and can not meet the current efforts to promote individualized teaching needs. This article will introduce the concept of Agent answering system to study, in the constructivist theory of learning under the guidance of the use of natural language processing technology and personalized recommendation technology design and development of a network based on Multi-Agent Intelligent Question Answering System. Learners can use natural language to the teacher or other learners online question; when no teacher or other learners online to answer questions, you can intelligently through the system to find answers for the questions and inform the learner learner; questions in the learner After the system is also able to provide further learning to the learner guidance, take the initiative to push its existence learner questions or issues of interest to help learners better complete knowledge of construction of meaning. The system complies with the requirements of modern distance education, learners can receive timely help of a teacher or other learners; teachers are also able to interact with learners learners understand the situation in a timely manner to improve teaching methods and strategies, so that the system is an effective teaching aids. In the organizational structure, the paper briefly describes Agent theory and constructivist learning theory; study the answering system to achieve the three key technologies, namely natural language processing technology, personalized recommendation technology and knowledge base of the structure and organization; proposed based Multi-Agent-answering system model and implement the prototype system, and the system architecture and workflow for a detailed analysis; appropriate choice of development tools to university-level courses \answering system and made available to school students. Full summary section of the author's work were reviewed, and the next step was expected.

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