Table of Contents
Question
How does a reasoning engine work?
A. It’s a way for computer scientists to optimize server code in a hosted reason repository.
B. It networks together several search engines so that users always have access to good content.
C. It draws conclusions, makes decisions, summarizes information, and solves problems based on available datA.
D. It’s a way for search engines to crawl, index, and rank new content so that it’s always fresh data and able to solve real problems.
Answer
C. It draws conclusions, makes decisions, summarizes information, and solves problems based on available datA.
Explanation
The answer is C. It draws conclusions, makes decisions, summarizes information, and solves problems based on available data.
A reasoning engine is a software application that uses logic and inference methods to draw conclusions, make decisions, summarize information, or solve problems based on available data and knowledge. It typically works by storing a set of rules or axioms in a knowledge base, and then using those rules to reason about new information or situations.
For example, a reasoning engine could be used to:
- Determine whether a customer is eligible for a loan based on their income, debt, and credit history.
- Diagnose a medical condition based on a patient’s symptoms.
- Plan a route for a self-driving car based on traffic conditions and road rules.
Reasoning engines are used in a wide variety of applications, including:
- Customer relationship management (CRM)
- Medical diagnosis
- Fraud detection
- Natural language processing
- Self-driving cars
The following are examples of how a reasoning engine might work:
- Forward chaining: This is a method of reasoning that starts with known facts and then uses the rules to infer new facts. For example, if you know that “all cats are mammals” and “all mammals are warm-blooded,” then you can use forward chaining to infer that “all cats are warm-blooded.”
- Backward chaining: This is a method of reasoning that starts with a goal and then uses the rules to determine what facts must be true in order to achieve that goal. For example, if you want to know whether a customer is eligible for a loan, you can use backward chaining to determine what information you need to know, such as their income, debt, and credit history.
Reasoning engines are a powerful tool that can be used to solve a wide variety of problems. They are becoming increasingly important as artificial intelligence (AI) systems become more sophisticated.
The answer A. It’s a way for computer scientists to optimize server code in a hosted reason repository is incorrect because a reasoning engine is not used to optimize server code. The answer B. It networks together several search engines so that users always have access to good content is incorrect because a reasoning engine is not used to network together search engines. The answer D. It’s a way for search engines to crawl, index, and rank new content so that it’s always fresh data and able to solve real problems is incorrect because a reasoning engine is not used to crawl, index, or rank new content.
Reference
- What Is A Reasoning Engine? Business and IT Glossary (aragonresearch.com)
- Semantic reasoner – Wikipedia
- Inference engine – Wikipedia
- What is Semantic Reasoning? | Fundamentals with Oxford Semantic Technologies
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