Advantages of integrating expert systems into organizations
Ontology classification. One way to enhance the learning that occurs is through organizational prototyping—that is, by conducting experiments that involve either deliberate creation and evaluation of groups of people who use the system differently or comparison of differences in usage patterns that arise naturally.
If-then procedures and pertinent rules are an important part of the knowledge database. Companies that study the usage patterns stand to learn a great deal about the way ESs alter operations. For large companies and complex activities, sufficiently powerful computer hardware must be available, and frequently programming must be done to integrate the new expert system with existing information systems and process controls.
Types of expert system
Backward chaining - the inference engine attempts to match the assumed hypothesized conclusion - the goal or subgoal state - with the conclusion THEN part of the rule. A claim for expert system shells that was often made was that they removed the need for trained programmers and that experts could develop systems themselves. The American Express credit card has no set spending limit. Consequently, implementation of an ES is often as much a process of transferring a point of view or set of beliefs as it is providing a solution to a problem. On deep or difficult wells an engineer on site often has to sample and analyze the mud at least twice a day. These prices were the starting point for negotiations among the customer, the field service representative, and service management. It can then be more easily captured in other computer languages. The system might help experts work faster, apprentices work more consistently, or novices get started at the job. And think about whether the problem can be described in words. Higher executives at TI are thereby assured of comparable analyses, so they can make more informed capital allocation decisions. The experts must evaluate each version of the system and compare the reasoning that is being embedded in the system with their own thinking. An expert system ES is a knowledge-based system that employs knowledge about its application domain and uses an inferencing reason procedure to solve problems that would otherwise require human competence or expertise. Additionally, depending on the application, the knowledge database must be updated frequently to maintain relevance and timeliness.
When a turbine fails, it sometimes throws pieces of steel, whirling at thousands of revolutions per minute, into protective castings, causing tens of thousands of dollars worth of damage and weeks of downtime.
Good Reliability: The expert system needs to be reliable, and it must not make any a mistake. The explanation facility explains how the system arrived at the recommendation.
based on 59 review