All Exams Test series for 1 year @ ₹349 only
Question

Arrange the steps involved in the case-based reasoning
A. System finds closest fit and retrieves solution
B. System asks user additional questions to narrow search
C. System modifies the solution to better fit the problem and got successful
D. System searches data base for similar cases
E. User describes the problem
Choose the correct answer from the options given below :

The correct answer is
E, D, B, A, C

Understanding Case-Based Reasoning (CBR) Steps

Case-Based Reasoning (CBR) is a problem-solving methodology used in artificial intelligence that works by reusing knowledge from previously solved similar problems. The process involves several key stages that guide the system from understanding a new problem to finding and adapting a solution. Let's break down the correct sequence of these steps:

Step 1: User describes the problem (E)

The process begins when the user or another system presents a new problem to the CBR system. This involves describing the current situation and the specific issue that needs to be addressed. This initial description is crucial for the system to start its reasoning process.

Step 2: System searches database for similar cases (D)

Once the problem is described, the CBR system accesses its knowledge base, which is a collection of past problems and their solutions (known as cases). The system then searches this database to find cases that are most similar or relevant to the current problem description. This is the core of the retrieval phase.

Step 3: System asks user additional questions to narrow search (B)

Sometimes, the initial problem description might not be specific enough, or multiple past cases might seem equally relevant. In such scenarios, the system may need more information. It asks the user clarifying questions to gather additional details. This helps to refine the search criteria, making the retrieval process more accurate and efficient, ultimately leading to a better-suited case.

Step 4: System finds closest fit and retrieves solution (A)

After searching and potentially gathering more information, the system identifies the past case that is the most similar or has the highest relevance score compared to the current problem. It then retrieves the solution associated with that closest matching case. This step concludes the retrieval phase and provides a potential solution framework.

Step 5: System modifies the solution to better fit the problem and got successful (C)

The solution retrieved from the most similar case is rarely a perfect match for the new problem. Therefore, the system enters the adaptation phase. It modifies or tailors the retrieved solution based on the specific features of the current problem. Once adapted, the solution is applied, and its success is evaluated. If successful, the cycle might conclude, or the new problem and its validated solution may be retained for future use.

Summary of CBR Steps Order

The correct order for the steps involved in Case-Based Reasoning is:

  • E. User describes the problem
  • D. System searches database for similar cases
  • B. System asks user additional questions to narrow search
  • A. System finds closest fit and retrieves solution
  • C. System modifies the solution to better fit the problem and got successful
Was this answer helpful?

Important Questions from Artificial Intelligence

  1. In the context of AI, NRF may consider a three-pronged approach. These are:
    A. Advancing International research efforts to address global challenges.
    B. Developing and deploying application.
    C. Efforts to address global challenges through research.
    D. Advancing core AI research.
    E. Enhancing the knowledge regarding AI, NRF
    Choose the correct answer from the options given below:
  2. In designing an agent in AI, PEAS stands for :
  3. What is the primary function of supervised Machine Learning in Disaster Risk Management (DRM)?
  4. How do computational models contribute to disaster research?
  5. Arrange the progression of machine learning methodologies from basic to advance in terms of complexity and abstraction in proper order
    A. Supervised Learning
    B. Unsupervised Learning
    C. Deep Learning
    D. Reinforcement Learning
    Choose the correct answer from the options given below :
Need Expert Advice?

Start Your Preparation with Prepp Mobile App

Download the app from Google Play & App Store
Download the app from Google Play & App Store
Prepp Mobile App