answersLogoWhite

0


Best Answer

Knowledge representation languages are formal languages used to represent knowledge in Artificial Intelligence systems. These languages provide a way to encode information in a format that can be understood and manipulated by computers, allowing them to reason and make decisions based on that knowledge. Common examples include logic-based languages like first-order logic, semantic networks, and ontologies.

User Avatar

AnswerBot

1w ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What is Knowledge representation Languages?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What has the author John F Sowa written?

John F. Sowa has written: 'Knowledge Representation' -- subject(s): Knowledge representation (Information theory)


What is relation between regular languages finite automaton and regular grammars?

finite automaton is the graphical representation of language and regular grammar is the representation of language in expressions


Where can i update knowledge Any website?

You can update your knowledge on any website by learning any of the programming languages.


What is the meaning of developing language skills?

Developing language skills refers to the process of improving one's ability to understand, speak, read, and write in a particular language. This can involve expanding vocabulary, enhancing grammar proficiency, practicing pronunciation, and honing communication strategies. Strong language skills are essential for effective communication and can open up opportunities for personal, academic, and professional growth.


Why is the bible printed in common languages?

So that ordinary people, with no knowledge of 'foreign' or 'dead' languages can read it easily.


What is knowledge representation in neural network?

Frame 72 is labeled as a Malformed Packet. What does this mean?


What has the author Bruce G Buchanan written?

Bruce G Buchanan has written: 'Research on knowledge representation, machine learning, and knowledge acquisition'


Explain the properties of knowledge representation systems in Artificial intelligence?

Properties for Knowledge Representation SystemsThe following properties should be possessed by a knowledge representation system.Representational Adequacy-- the ability to represent the required knowledge;Inferential Adequacy- the ability to manipulate the knowledge represented to produce new knowledge corresponding to that inferred from the original;Inferential Efficiency- the ability to direct the inferential mechanisms into the most productive directions by storing appropriate guides;Acquisitional Efficiency- the ability to acquire new knowledge using automatic methods wherever possible rather than reliance on human intervention. To date no single system optimises all of the above


What makes the chinse language so different from other languages?

Chinese is different from other languages in several ways, such as being tonal with four main tones, using logographic characters instead of an alphabet, and having a different grammatical structure with no verb conjugations or tenses. Additionally, Chinese does not use plural forms for nouns and lacks articles like "a" or "the" found in many Western languages.


What helps when you learn different languages?

You can communicate with people in other countries, and you can gain interest and knowledge through reading books in other languages too.


How do you get Bengali?

If you have knowledge of Sanskrit, you can get all the Indian languages after little bit of concentration and practice.


Is cognitive does it have to do with languages?

The word cognitive means having to do with the process of acquiring knowledge and understanding.