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Process of knowledge acquisition
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CHAPTER TWO
KNOWLEDGE ACQUISITION AND REPRESENTATION
2.1 Overview
This Chapter presented a description of Knowledge Acquisition and Knowledge Representation in Expert Systems. This chapter will explain the knowledge Acquisition and Representation methods, production rules and frames. The section below explains the concept of Production rule, their training and learning. Also this chapter discusses methods of Knowledge Acquisition and Knowledge Representation.
2.2 Knowledge Acquisition
Information obtaining is the extraction of learning from wellsprings of mastery and its exchange to information base.
2.3 Difficulties in Knowledge Acquisition
The fact that the knowledge in an ES may appear in several sources is only one reason why knowledge
The knowledge engineer elicits knowledge from the expert and/or other sources and then codes it in the knowledge base. The process is shown in Figure 2.1 (Part a). Manual methods are slow, expensive, and sometimes inaccurate. Therefore, the trend is to automate the process.
2.4.2 Semiautomatic Method
Semiautomatic methods are divided into two categories: (1) those intended to support experts by allowing them to build knowledge bases with little or no help from knowledge engineers Figure 2.1 (Part b), and (2) those intended to help knowledge engineers by allowing them to execute necessary tasks in a more ef¬ficient and/or effective manner.
2.4.3 Automatic Method
In automatic methods the roles of expert, knowledge engineer, and builder are combined. For example, the induction method shown in Figure 2.1 (Part c) can be administered by a system analyst. The role of the expert is minimal and there is little need for a separate knowledge engineer. However, the term auto¬matic may be misleading. There is always going to be a human builder, but there may be little or no need for a separate knowledge engineer or expert. Figure 2.1. Method of knowledge acquisition
2.5 Knowledge Acquisition from Multiple
• Knowledge engineer itself becomes expert when it analyses expert's phrases under intercourse process with expert.
• Expert" independently loads knowledge base with the help of special software (for example, inductive inference program). This software in same measure executes the knowledge engineer's functions.
• Knowledge from literary sources is transferred into knowledge case with the help of text understanding programs (text recognition or identification programs).
2.7 Application of the ES in Business
Under classification on manual ways for knowledge acquisition one may select "direct" and "indirect" methods. Direct methc-da use: interviews, forms (questionnaires) ordinary observation, drawing of reserved curves, analysis with gradual logical
Pompiliu, M., & Ioana, C., (2008). Knowledge Management Architecture – Principles and Tendencies, Informatica Economică, 4(48), 65-68,
3. Use a Precise way to solve a problem with structured problem solving techniques.. (2008). Retrieved from http://www.greatbrainstormingtechniques.com/structured-problem-solving-techniques.php
Knowledge can take many forms. Knowledge can range from being an expert mathematician to learning to count to ten. In all forms, it has significance. Yet, with knowledge comes some consequence. Many have said that knowledge is both a curse and a blessing--a true statement as there are consequences for the pursuit of knowledge.
Knowledge task analysis: defining in detail what the worker needs to know in order to complete a specific job or task successfully.
Artificial Intelligence (AI) is one of the newest fields in Science and Engineering. Work started in earnest soon after World War II, and the name itself was coined in 1956 by John McCarthy. Artificial Intelligence is an art of creating machines that perform functions that require intelligence when performed by people [Kurzweil, 1990]. It encompasses a huge variety of subfields, ranging from general (learning and perception) to the specific, such as playing chess, proving mathematical theorems, writing poetry, driving a car on the crowded street, and diagnosing diseases. Artificial Intelligence is relevant to any intellectual task; it is truly a Universal field. In future, intelligent machines will replace or enhance human’s capabilities in
W. In the second part of this step, the students are encouraged to develop categories for the ideas they brain stormed. The second step is step W determining what I want to learn. In this step, the students are encouraged to create questions and are asked to write down the ones that interest them the most.
Key Words; Artificial Intelligence, Multiple Intelligence, Fuzzy Logic, Fuzzy Logic Toolbox, Vocational Guidance, Decision Making
In our contemporary society, people have initiated methods of instilling knowledge to pass out information. The passage of information is essential in ensuring smooth activities in the world. Knowledge should be made a reliable resource that is maximized in the community. Such methods are either passive or active techniques, depending on the learning context. Those that actively engage in field studies have an added advantage of first site experience unlike what is obtained by reading and sleeping where one may need to internalize the concept and later integrate it into usage (Aarrevaara et al. 18). This paper will outline in detail the three forms of learning and the
The aim of artificial intelligence is to provide a computational model of intelligent behavior (Pearl, 1988). Expert systems are designed to embody the knowledge of an expert in a given field. But how do people become experts themselves?
Abstract: In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial Intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing and service systems. Study in the area of artificial intelligence has given rise to the rapidly growing technology known as expert system. Application areas of Artificial Intelligence is having a huge impact on various fields of life as expert system is widely used these days to solve the complex problems
A case referring to the beneficial use of the expert systems in the health sector was the attempt of the LDS Hospital in Salt Lake city,Utah to build “ the most complex artificial intelligence system ever created'; according to the words of DR David Classen.Its name was AIC or “Antibiotic Computer Consultant'; and it was part of HELP(Health Evaluation through Logical Processing), which was LDS’s hospital information system. The latter was existed, before the implementation of the Expert System.
An expert can be anyone with extensive knowledge or experience in a unique discipline or professional field beyond that of the average lay person. In a case, if technical, scientific, or other specialized knowledge is determined to be necessary to help to understand the evidence or to determine a fact in issue, an expert witness may be called upon.
There are expert systems that can solve complex problems that humans train their whole lives for. In 1997, IBM's Deep Blue defeated the world champion in a game of chess (Karlgaard, p43). Expert systems design buildings, configure airplanes, and diagnose breathing problems. NASA's Deep Space One probe left with software that lets the probe diagnose problems and fix itself (Lyons).
Artificial Intelligence “is the ability of a human-made machine to emulate or simulate human methods for the deductive and inductive acquisition and application of knowledge and reason” (Bock, 182). The early years of artificial intelligence were seen through robots as they exemplified the advances and potential, while today AI has been integrated society through technology. The beginning of the thought of artificial intelligence happened concurrently with the rise of computers and the dotcom boom. For many, the utilization of computers in the world was the most advanced role they could ever see machines taking. However, life has drastically changed from the 1950s. This essay will explore the history of artificial intelligence, discuss the