Classical expert systems required years to perfect and highly skilled knowledge engineers
to craft them; Digital Aristotle will provide tools to facilitate rapid knowledge formulation by domain experts with little or no help from knowledge engineers
Having a machine learning algorithm that can generate arguments and can accept expert's arguments, we will now define how a domain expert and a knowledge engineer
can interact with arguments.
This version (with the extension.vbp) is designed for use by the knowledge engineer
who is responsible for developing and updating the system.
Surprisingly, there are very few knowledge acquisition courses offered at universities and industry. In order to lessen the difficulty of performing knowledge acquisition and to better educate students on this subject, multimedia aids and automated knowledge acquisition tools are needed to support the knowledge engineer
. Towards this goal, KARMA has been developed as a multimedia aid for helping the student learn about knowledge acquisition.
Expert systems are becoming more userfriendly and are requiring fewer computer skills by the knowledge engineer
. Already, products are available that scan a decision logic table (DLT) and generate a knowledge base and an expert system.
An individual whose specialty is assessing problems, acquiring knowledge, and building knowledge systems.
During the implementation stage, the knowledge engineer
makes this formalized knowledge compatible with the information-flow outlined in Step 2.
The knowledge engineer
interviews one or more experts and then distills the information relevant to the application into a set of rules or some other form of knowledge representation that reflects the behavior of human experts.
His words would be taped and then analyzed by the knowledge engineer
To build a planning intelligent system today, a knowledge engineer
performs different types of activities such as: knowledge-processing that refers to extracting knowledge, organizing knowledge, assembling knowledge and refining knowledge; planning algorithms, expertises and reports (Prostean, 2007).
Developing an AI system required a knowledge engineer
, that is, a developer of an expert system, who could transform the knowledge in the mind of a human expert into a computer system that could make decisions.
Then the authors turn to knowledge engineering," which they describe as "the task of acquiring expert knowledge and encoding it in such a way that it can be used by an expert system." The knowledge engineer
is constrained by the knowledge representation techniques of any subject or area of inquiry, and the authors describe knowledge representation criteria for library and information retrieval applications, the need to build a vocabulary control system, and design of the user interface.