To Developed Tool, an Intelligent Agent for AutomaticKnowledge Acquisition In

نویسندگان

  • Mohammed Abbas
  • M. Afshar Alam
چکیده

The complex stage in building expert system is knowledge acquisition from domain experts and translated it to representation approach in knowledge base of expert system. In this paper we present an automatic way to extract knowledge from domain experts directly and converted it to facts and rules in knowledge base for rule-based expert system using intelligent agent. That means, the construct of proposed system consists of three steps, in first step we are construct a Diagnosis Domain Tool for Expert System (DDTES) (a piece of software which contains the user interface, inference engine and a format for declarative knowledge in knowledge base). Secondly we are construct Knowledge Acquisition Agent (KAA) able to interview with domain experts to extract problem solving knowledge in specific diagnosis domain and converted it to production rules in knowledge base. Finally we captured complete rule-based expert system from combination the results of two previous steps which can works and produce advices in that domain. The proposed (DDTES) and (KAA) are implemented and executed by using Visual Prolog programming language Ver.7.1.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

To Developed Tool, an Intelligent Agent for Automatic Knowledge Acquisition in Rule-based Expert System

Index Terms Computer Science [1] Luger, F. And William Stubbefield , 1998, Artificial Intelligence , Addison Wesley Longman ,3rd Edition. [2] Http://wps. prenhall. com/wps/media/objects/3778/3869053/turban_online_chapter_w18. Pdf, Knowledge Acquisition, Representation, And Reasoning. [3] Eldrandaly,khalid, October 2007, An Intelligent Mcdm Approach For Selection The Suitable Expert System Build...

متن کامل

Optimization of Spindle loading and Tool Wear for CNC Turning Machine by Using Intelligent System

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

متن کامل

Optimization of Spindle loading and Tool Wear for CNC Turning Machine by Using Intelligent System

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

متن کامل

A Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents

Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....

متن کامل

Approach to Organizing the Functioning of Smart Elements in the Multi-Agent “Smart House” System

A research was conducted to form an approach to the design and implementation of a multi-agent control system of smart elements for a “Smart house”. The system was built on the example of three intelligent robots. In the architecture of the system under development, the main part is the subject-independent multi-agent kernel, which includes the following basic components: direct access service,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012