Page 69 - DCAP506_ARTIFICIAL_INTELLIGENCE

Unit 5: Knowledge Representation

5.1.2 Tactic Knowledge Notes

Knowledge that can also be attained, but is not as easily transferred. Tacit knowledge can be
attained through dialogue, job shadowing, storytelling, and sharing of best practices and lessons
learned. It usually is rooted in an individual’s experiences, intuition, insight, judgment,
and knowledge of organizational values. Individuals with tacit knowledge are usually
considered to be experts within their organizations and frequently sought out for guidance and
input.

 Tacit knowledge includes hands-on skills, best practices, special know-how, and intuitions.
Personal knowledge that is difficult to articulate.
 Tacit knowledge in an organization ensures task effectiveness. It also provides for a kind
of creative vitality – intuition and spontaneous insight can often tackle tough problems
that would otherwise be difficult to solve.

 Traditionally the transfer of Tacit knowledge is through shared experience, through
apprenticeship and job training.

 Tacit knowledge is cultivated in an organizational culture that motivates through shared
vision and common purpose.
An organization must adopt a holistic approach to knowledge management that successfully
combines Tacit and Explicit knowledge at all levels of the organization.

Notes Personal knowledge is leveraged with Explicit knowledge for the design and
development of innovative products, services and processes.

5.1.3 Knowledge Representation

This part depicts the way to show knowledge, for easy understanding we will take the help of
knowledge acquisition.

Knowledge Acquisition in Context: Knowledge-based System Technologies

Knowledge acquisition can be considered as one further technology contributing to the
development of knowledge-based Systems (KBS).
Knowledge Support System

At the top of the hierarchy are experimental systems integrating knowledge acquisition and
performance tools in systems designed to support knowledge base updating and extension as
part of ongoing applications.

Knowledge Acquisition Tools

At the next level are the tools for automating knowledge engineering for KBS, through automatic
interview procedures, modeling expert behavior, and analysis of knowledge in textual form.

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