Knowledge model | Wikipedia audio article
Channel: wikipedia tts
Date: 17/01/2019

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Knowledge_representation_and_reasoning


00:01:14 1 History
00:10:08 2 Overview
00:15:55 3 Characteristics
00:22:00 4 Ontology engineering
00:26:37 5 See also



Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.

Learning by listening is a great way to:
- increases imagination and understanding
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- improves your own spoken accent
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- reduce eye strain

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Speaking Rate: 0.8479129477586819
Voice name: en-US-Wavenet-F


"I cannot teach anybody anything, I can only make them think."
- Socrates


SUMMARY
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Knowledge representation and reasoning (KR, KR², KR&R) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build.  Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, frames, rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
The KR conference series was established to share ideas and progress on this challenging field.