The IQ Exchange For Intelligence Systems, AI, Expert System, Virtual Reality
HOME
BLOG
 
The Brain
The Brain Functions
Brain-Like Computers
The Brain & DNA
Intelligence Quotes
 
Personal Intelligence
Personal Intelligence
Personal IQ
 
Business Intelligence
Business Intelligence
Dashboards
Data Warehouses
 
Expert Systems
Expert Systems
Artificial Intelligence [AI]
Aviation Expert Systems
 
Virtual Reality
Augmented Reality
Virtual Reality
Virtuality
 
Virtualization
 
ONLINE STORE
 

 

Expert Systems


Expert systems are described as 'knowledge based systems'. They consist of a computer program that contains subject-specific knowledge and the analytical logic of one or more human experts.

An expert system is the first stage down the toward of artificial intelligence.

To date, expert systems have been largely focused on decision making. The logic consists of sets of rules and dependencies that analyze information related to a specific class of problems. It applies mathematical analysis of the problem, and, depending upon their design, recommends a course of user action to implement a remedy.

Its apparent intelligence and reasoning capabilities to reach conclusions are constrained by the logical relationships entered by the programmer.

A simple form of expert system is what we know as a 'wizard'. A wizard walks you step by step through a scenario, and based upon your answers at each step, presents you with the next set of questions, until it reaches a point where a logical conclusion can be made as to how best to action the task or remedy the issue.

Software installation "Wizards" are not expert systems.

Advantages and Disadvantages

Significant cost savings can result from the use of expert systems. They are also highly valued in preserving corporate intelligence assets.


Advantages

  • Speed up decision making
  • Quality improvement by providing consistent answers for repetitive decisions, processes and tasks
  • Preserve scarce expertise
  • Hold and maintain significant levels of information
  • Reduces creating entry barriers to competitors
  • Review transactions that human experts may overlook


Disadvantages

  • Lack human common sense needed in some decision makings
  • Creative responses human experts can respond to in unusual circumstances
  • Domain experts not always able to explain their logic and reasoning
  • Challenges of automating complex processes
  • Lack of flexibility and ability to adapt to changing environments as questions are standard and cannot be changed
  • Not able to recognize when no answer is available

Expert systems are now commonly integrated with conventional information technology and databases.

 

NEXT: Types of Problems Solved By Expert Systems

 

Back To Top