Elite QandA


What is a rule based reasoning and case-based reasoning?


  1. What is a rule based reasoning and case-based reasoning?
  2. Which is the best example of rule based approach?
  3. What is rule based process?
  4. What is rule based inference?
  5. What are the main components of a rule-based system?
  6. What is true about rule-based system?
  7. What is rule-based ethical reasoning?
  8. What is Case-Based Reasoning give example?
  9. What is rule-based approach in AI?
  10. What is rule-based learning in AI?
  11. What are the five component steps of a typical rule-based reasoning?
  12. Is rule-based considered AI?
  13. What are the characteristics of rule-based system?
  14. What are the strengths advantages of rule-based systems?
  15. How does Case-Based Reasoning work?
  16. What is rule-based system in AI?
  17. How is rule-based reasoning different from analogical reasoning?
  18. What is legal reasoning example?
  19. How is rule-based AI different from learning based AI?
  20. How do laws reflect rule-based ethics?
  21. What is the difference between consequence based reasoning and rule-based reasoning?
  22. What are the key differences between rule-based and learning based AI?
  23. Which is the benefit of the rule-based expert system?
  24. What are the strengths advantages of rule based systems?
  25. What is the main weakness of a rule-based system?
  26. What are the limitations of rule-based system?
  27. What is the difference between rule-based and consequence based ethical reasoning?
  28. What is the difference between Analogizing a case and distinguishing a case?
  29. What are rule-based ethics?
  30. Which ML technique is best to use for a case-based reasoning?
  31. What are the characteristics of rule based system?
  32. What are the limitations of rule based systems?

What is a rule based reasoning and case-based reasoning?

Rule-based reasoning uses induction rules to determine whether a new problem should be inspected further or not. Case-based reasoning performs similarity-based matching to find the most similar case in case base to the new problem.

Which is the best example of rule based approach?

Applications. A classic example of a rule-based system is the domain-specific expert system that uses rules to make deductions or choices. For example, an expert system might help a doctor choose the correct diagnosis based on a cluster of symptoms, or select tactical moves to play a game.

What is rule based process?

1. A process which applies to familiar situations and is governed by the application of a set of explicit rules or heuristics ( Rasmussen, 1983 ).

What is rule based inference?

William Mark. The process of inference can be conceived as the continual redescription of a given structure in the system knowledge base until a desired structure is formed. Inference rules then represent single transformations to be used in this redescription process.

What are the main components of a rule-based system?

A rule-based expert system has five components: the knowledge base, the database, the inference engine, the explanation facilities, and the user interface.

What is true about rule-based system?

A rule-based system is a way of encoding a human expert's knowledge in a fair-ly narrow area into an automated system. Explanation: All of the above statement are true about rule based system. Explanation: Rules are expressed as a set of if-then statements (called IF-THEN rules or production rules). 14.

What is rule-based ethical reasoning?

2) Rule-Based Ethical Reasoning - In this style of reasoning, acts are either right or wrong. For example, telling the truth is always right, and lying is always wrong. In rule-based ethics, good consequences do not justify wrong or bad acts.

What is Case-Based Reasoning give example?

In artificial intelligence and philosophy, case-based reasoning (CBR), broadly construed, is the process of solving new problems based on the solutions of similar past problems. In everyday life, an auto mechanic who fixes an engine by recalling another car that exhibited similar symptoms is using case-based reasoning.

What is rule-based approach in AI?

What is rule-based AI? A system designed to achieve artificial intelligence (AI) via a model solely based on predetermined rules is known as a rule-based AI system. The makeup of this simple system comprises a set of human-coded rules that result in pre-defined outcomes.

What is rule-based learning in AI?

Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves 'rules' to store, manipulate or apply.

What are the five component steps of a typical rule-based reasoning?

Rule based reasoning requires a lawyer to apply a set of facts to a stated legal premise, like a statute or common-law rule.... The point of the analysis, the stated premise or rule, the explanation of the rule (if necessary), the application of the rule to the facts, and, the conclusion.

Is rule-based considered AI?

Broadly speaking, the field of AI distinguishes between rule-based techniques and machine learning techniques. A computer system that achieves AI through a rule-based technique is called rule-based system. A computer system that achieves AI through a machine learning technique is called a learning system.

What are the characteristics of rule-based system?

Features of Rule-Based Systems: Composed of combined knowledge of human experts in the problem domain. Represent knowledge in a highly declarative way. Enables the use of several different knowledge representations paradigms. Supports implementation of non-deterministic search and control strategies.

What are the strengths advantages of rule-based systems?

Availability: Availability of the system for the user is not an issue. Cost efficient: This system is cost efficient and accurate in terms of its end result. Speed: You can optimize the system as you know all the parts of the system.

How does Case-Based Reasoning work?

Case-based reasoning imitates a human reasoning and tries to solve new problems by reusing solutions that were applied to past similar problems. CBR deals with very specific data from the previous situations, and reuses results and experience to fit a new problem situation.

What is rule-based system in AI?

What is rule-based AI? A system designed to achieve artificial intelligence (AI) via a model solely based on predetermined rules is known as a rule-based AI system. The makeup of this simple system comprises a set of human-coded rules that result in pre-defined outcomes.

How is rule-based reasoning different from analogical reasoning?

In rule-base based reasoning, the legal writer moves from the general (e.g., “if a, then b”) to a particular (“x is b,” where x is a fact in the present case). In analogical reasoning, the legal writer moves from the particular (e.g., the facts in a precedential case) to a particular (the facts in the present case).

What is legal reasoning example?

This type of reasoning often involves the use of prior judicial decisions. For instance, an attorney arguing for a particular interpretation of a statute might point to a previous case involving the same rule and similar facts in which the court had adopted the interpretation for which the attorney is now arguing.

How is rule-based AI different from learning based AI?

Machine learning systems are probabilistic and rule-based AI models are deterministic. Machine learning systems require more data as compared to rule-based models. Rule-based AI models can operate with simple basic information and data. However, machine learning systems require full demographic data details.

How do laws reflect rule-based ethics?

How are ethics reflected in laws? Because the U.S. legal system is grounded on majority rule, the laws are judged to be right or good when they affect the majority of the people positively. Laws are judged to be wrong when they affect the majority negatively.

What is the difference between consequence based reasoning and rule-based reasoning?

Consequence-based reasoning recognizes that lying usually produces bad consequences. Rule-based ethics says that lying is always wrong.

What are the key differences between rule-based and learning based AI?

Rule-based artificial intelligence systems are immutable objects. On the other hand, machine learning models are mutable objects that enable enterprises to transform the data or value by utilizing mutable coding languages such as java.

Which is the benefit of the rule-based expert system?

The advantages are mentioned as follows: Availability: Availability of the system for the user is not an issue. Cost efficient: This system is cost efficient and accurate in terms of its end result. Speed: You can optimize the system as you know all the parts of the system.

What are the strengths advantages of rule based systems?

Availability: Availability of the system for the user is not an issue. Cost efficient: This system is cost efficient and accurate in terms of its end result. Speed: You can optimize the system as you know all the parts of the system.

What is the main weakness of a rule-based system?

First, the rules engines do not scale. They must logically become nearly as complicated as the problem the system is trying to solve. Rules must be added, they are not learned (as they are in machine learning).

What are the limitations of rule-based system?

The disadvantages of the RB system are as follows: Lot of manual work: The RB system demands deep knowledge of the domain as well as a lot of manual work. Time consuming: Generating rules for a complex system is quite challenging and time consuming.

What is the difference between rule-based and consequence based ethical reasoning?

Rule-based ethics says that lying is always wrong. Consequence-based reasoning first looks for alternative ways to alter the current situation. Then it attempts to forecast the consequences that will arise from each alternative.

What is the difference between Analogizing a case and distinguishing a case?

Similar facts between the past case and the present case lead to a similar outcome (analogizing), dissimilar facts between the past case and the present case lead to a different outcome (distinguishing).

What are rule-based ethics?

An approach to ethics management wherein the morality of an action is judge based on rules. When deviation from the code occurs, the organisation takes corrective action.

Which ML technique is best to use for a case-based reasoning?

As we know Nearest Neighbour classifiers stores training tuples as points in Euclidean space. But Case-Based Reasoning classifiers (CBR) use a database of problem solutions to solve new problems.

What are the characteristics of rule based system?

Features of Rule-Based Systems: Composed of combined knowledge of human experts in the problem domain. Represent knowledge in a highly declarative way. Enables the use of several different knowledge representations paradigms. Supports implementation of non-deterministic search and control strategies.

What are the limitations of rule based systems?

The disadvantages of the RB system are as follows: Lot of manual work: The RB system demands deep knowledge of the domain as well as a lot of manual work. Time consuming: Generating rules for a complex system is quite challenging and time consuming.



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