From the perspective of systems theory, a good knowledge representation system may have the following things:
*Acquisition efficiency to collect and incorporate new data;
*Inferential adequacy to derive knowledge representation structures like symbols when new knowledge is learned from old knowledge;
*Inferential efficiency to enable the addition of data into existing knowledge structures to help the inference process;
*Representation adequacy to represent all the knowledge required in a specific domain.
https://www.springboard.com/blog/ai-machine-learning/artificial-intelligence-questions/
A good knowledge representation system must possess the following properties.
Representational Accuracy: ...
Inferential Adequacy: ...
Inferential Efficiency: ...
Acquisitional efficiency- The ability to acquire the new knowledge easily using automatic methods.
inferential Adequacy, Inferential Efficiency, Acquisitional efficiency ,
Representational accuracy
and ability of authenticity
Dear Terri Purvis
Thank you to share useful links.
My best regards.
Dr Sudhir Yadav
Dear Faraed Salman,
Thank you for participation in this discussion.
My best wishes,
Dr Sudhir yadav
Dear Mubashir Ali Rather
Thank you for your participation,
My warm regards..
Very nice question and excellent answers. Please kindly find the attached file. Probably find it interesting
Dear Professor Parisa Ziarati
Thank you to participate in this discussion and send the very useful and important document.
My best wishes
Dr Sudhir Yadav
Hi. I hope the following website could help you:
https://www.javatpoint.com/knowledge-representation-in-ai
We will learn about Knowledge Representation in AI and ... Heuristic Knowledge – This represents some expert knowledge in ... Here is an example to show the different components of the system
A good knowledge representation system must possess the following properties.
- Representational Accuracy: ...
- Inferential Adequacy: ...
- Inferential Efficiency: ...
- Acquisitional efficiency- The ability to acquire the new knowledge easily using automatic methods.
Very interesting question that provoked several valuable comments and answers
Sudhir KS Yadav
https://www.fingent.com › blog › classifying-knowledge-r
Dear Professors Aref Wazwaz, Idarmis Knight Soto, Raed Rahim Khuder, Humberto Costa, and Lamia Al-Naama.
Thank you very much for your active participation in this discussion. Your contents, links and researches are very unique. I do hope will be very useful.
A good knowledge representation system must have properties such as: Representational Accuracy: It should represent all kinds of required knowledge. Inferential Adequacy: It should be able to manipulate the representational structures to produce new knowledge corresponding to the existing structure
Please see the following article and it could be helpful.........
Article The CLASSIC Knowledge Representation System: Guiding Princip...
Dear Professors :Dr Rajesh A M, Dr Ashok Kumar, DrMd. Abdur Razzak Choudhury,
Thank you very much for your active participation in this discussion.
"A good knowledge representation system must have properties such as: Representational Accuracy: It should represent all kinds of required knowledge. Inferential Adequacy: It should be able to manipulate the representational structures to produce new knowledge corresponding to the existing structure" This is amzing interpretation/ explanation Dr Ashok Kumar sir.
Professor Md. Abdur Razzak Choudhury thank you to share a very good and informative document through link.
My best regards to all
Dr Sudhir Yadav
A good knowledge representation system must possess the following properties.
- Representational Accuracy
- Inferential Adequacy
- Inferential Efficiency
- Acquisitional efficiency
A good knowledge representation system must have properties such as Representational Accuracy: It should represent all kinds of required knowledge. Inferential Adequacy: It should be able to manipulate the representational structures to produce new knowledge corresponding to the existing structure.
A good knowledge representation system must have properties such as: Representational Accuracy: It should represent all kinds of required knowledge. Inferential Adequacy: It should be able to manipulate the representational structures to produce new knowledge corresponding to the existing structure.
A good knowledge representation system must have the following properties 12: Representational Accuracy: It should represent all kinds of required knowledge. Inferential Adequacy: It should be able to manipulate the representational structures to produce new knowledge corresponding to the existing structure. Inferential Efficiency: It deals with the system’s ability to infer knowledge on its own. Acquisitional Adequacy: It deals with the system’s ability to gain additional knowledge based on the environment provided. Representational Adequacy: It deals with the system’s ability to represent all types of knowledge.
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