AI Homework: Knowledge Codification, Decision Making, and Frames

This document presents a solution to an AI homework assignment exploring knowledge codification and decision-making processes. The assignment is divided into two tasks. The first task focuses on the process of knowledge codification, emphasizing the use of decision trees and the importance of transforming complex data into more usable formats, with the support of examples. The second task delves into the approach of a knowledge developer in decision-making, highlighting the essential personal attributes and technical abilities, such as self-confidence, communication skills, positive attitude, and analytical skills. The solution also includes examples of frames, such as Horse, College, and Airline, to illustrate knowledge representation. References to relevant academic sources are provided to support the analysis.

Take Home Exercise - 5.1 &
5.2

Table of Contents
TASK 1............................................................................................................................................1
5.1 Set of general frames to codify.............................................................................................1
TASK 2............................................................................................................................................1
5.2 Approach of knowledge developer in decision making........................................................1
REFERENCES ...............................................................................................................................3

TASK 1
5.1 Set of general frames to codify
The process of knowledge codification simply means that representing and managing the
knowledge before that have been approached by the responsible person that is displaced with the
support of decision tree (Kimble, Vasconcelos and Rocha, 2016). Codify is an important part of
knowledge codification as it help in discussing recognizable signs of particular causal variables,
supporting technical staff instruction based on the information gained from senior staff. It is not
possible to describe the data given above in published type and it is essential to transform this
data in the easy way to enhance its use in various respects. In order to decrease its amount of
trouble, knowledge codifying a complicated data can be subdivided into sub-parts.
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Frame: Horse
Families: Thoroughbred
Frame: Thoroughbred
Is a- Animal
Height: 18 Hand
Can Jump: Yes
Trot: Yes
Mini: Instance Frame
is a: Thoroughbred
boards in: Stall
it Can: FlashDance
Facet
Location: Stable
Facet
Location: Farm

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Frame College
Families: Student
Student Frame
is a- Young Person
is a- Undergraduate
Mini Instance Frame
Name- Brenda
Height- Medium Height
Study Year- Fourth Year
Education Stream- Liberal Arts
Live at- Home
Facet
Location- Classroom
Facet
Location- College

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Airline Frame
Families: Pilot
Pilot Frame
is a- Human Being
is a- Flight Captain
is a- Veteran
is a- Verified
Mini: Instance Frame
Is a- Pilot
Name- Fred
Age- 30-Year-old
Facet
Location- New York
Facet
Location

TASK 2
5.2 Approach of knowledge developer in decision making.
According to the effective methodology related with knowledge techniques is the second
one that is mention. The second strategy comprises of excellent organizational abilities, pleasant,
innovative and analytical. Hard skills such as software development and coding skills could be
evolved within a person through stronger knowledge and training, but innovative and technical
thinking can not be trained. Therefore, it is very much essential in the context of knowledge
developer to have a personal attributes and technical abilities that are discussed below:
Self confidence skills: In present time, for someone to become a successful designer of
knowledge codification, self-confidence is most crucial skills set. Individual with high personal
self-confidence skills are able to be more creative and innovative that can assist them to perform
job in meaningful manner.
Communication skills: It is consider to be the most significant value since it includes
excellent communication and hearing abilities which help individual to discover anything fresh
and innovative (Landry, Amara and Doloreux, 2012). Good communication abilities are essential
for achieving stronger teamwork that directly assist the other people to collaborate with the
software developer. In a way if any application is developed by trained personal and other
member faces problems related the same they can communicate with the team and manager to
make solution and remove the technical issue.
Positive attitude: It is not easy by an individual to positively think while running various
project or working on different application. Positive attitude helps individual with challenging
situations to maintain working atmosphere by creating useful plans in order to get highest
feasible outcome. Suppose while developing new software manager faces the problem with older
application which should hamper other worker, thus manager use to develop plans that can
manage entire staff member to work together on new and old application or programmer.
Analytical Skills: This ability can be considered as technological and interpersonal
ability. It is essential to have excellent analytical skills as a knowledge builder or programmer to
cope with distinct issues and fix them on the grounds of intelligent and fast analysis.
According to the second strategy, the individual who has these natural soft and hard
abilities that be will be efficient and effective in learning stronger programming and developing
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abilities that will directly support to extract better results as per the needs of company (Tzortzaki
and Mihiotis, 2014).
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REFERENCES
Books and Journals:
Kimble, C., de Vasconcelos, J. B. and Rocha, Á., 2016. Competence management in knowledge
intensive organizations using consensual knowledge and ontologies. Information
Systems Frontiers. 18(6). pp.1119-1130.
Landry, R., Amara, N. and Doloreux, D., 2012. Knowledge-exchange strategies between KIBS
firms and their clients. The Service Industries Journal. 32(2). pp.291-320.
Tzortzaki, A. M. and Mihiotis, A., 2014. A review of knowledge management theory and future
directions. Knowledge and Process Management. 21(1). pp.29-41.
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