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View metadata, citation and similar papers at core.ac.brought to you byCOREprovided by UMP Institutional RepositoryIMPLEMENTATION OF CEASED REASONING IN HELP DESK SYSTEM TEE SHIP Bachelor of Computer
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How to fill out implementation of case-based reasoning

01
To fill out the implementation of case-based reasoning, follow these steps:
02
Identify the problem domain and understand the requirements of the case-based reasoning system.
03
Gather a collection of cases that are relevant to the problem domain. Each case should consist of a problem description and its corresponding solution.
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Decide on the representation of cases. This can be done using a structured format such as XML or JSON, or by defining custom classes and attributes to represent the cases.
05
Define a similarity measure to compare cases. This measure should quantify the similarity between the problem description of a new case and the cases in the collection.
06
Implement the retrieval mechanism to find the most similar cases from the collection based on the similarity measure.
07
Design a method to adapt the retrieved cases to the current problem. This adaptation step involves mapping the solution of the retrieved cases to the current problem and making any necessary adjustments.
08
Implement a method for retaining and updating the case-base. This includes adding new cases to the collection and modifying existing cases based on feedback or new knowledge.
09
Test the implemented case-based reasoning system using different problem scenarios and evaluate its performance and accuracy.
10
Iterate and refine the implementation based on the test results and feedback from users.
11
Document the implementation, including the design choices, algorithms, and any specific configurations or dependencies required to run the system.

Who needs implementation of case-based reasoning?

01
Implementation of case-based reasoning is useful for:
02
- Researchers or practitioners in artificial intelligence and machine learning who are interested in developing intelligent systems that can learn from past experiences.
03
- Professionals in various domains such as healthcare, finance, and engineering who need a decision support system that can provide solutions based on similar cases.
04
- Businesses that want to leverage the knowledge and expertise of their employees by capturing and reusing their past experiences.
05
- Organizations dealing with complex problem-solving tasks that require a systematic approach to analyze and solve similar problems.
06
- Individuals who want to enhance their problem-solving skills by using a case-based reasoning system as a learning tool.
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Case-based reasoning is a problem-solving paradigm based on using past experiences to solve new problems.
Organizations or individuals using case-based reasoning in their problem-solving process are required to file the implementation.
The implementation of case-based reasoning can be filled out by documenting the process, steps, and outcomes of using past cases to solve new problems.
The purpose of implementation of case-based reasoning is to improve problem-solving efficiency by utilizing past experiences.
The implementation of case-based reasoning must include details of the cases used, the problems solved, and the outcomes achieved.
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