Knowledge representation - ترجمة إلى العربية
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Knowledge representation - ترجمة إلى العربية

FIELD OF ARTIFICIAL INTELLIGENCE ON REPRESENTING INFORMATION IN A FORM THAT A COMPUTER SYSTEM CAN USE TO SOLVE COMPLEX TASKS
Knowledge Representation; Knowledge representation formalisms and methods; Knowledge model; Knowledge representation system; Knowledge representation; Knowledge models; Knowledge representation & reasoning; KR²; KR&R; History of knowledge representation and reasoning; Knowledge reasoning

Knowledge representation         
تمثيل المعرفة .
tacit         
KNOWLEDGE THAT IS DIFFICULT TO TRANSFER TO ANOTHER PERSON BY MEANS OF WRITING IT DOWN OR VERBALIZING IT
Tacit Knowledge; Tacit; Tacit knowing; Embodied knowledge; Implicit knowledge
صِفَة : صامت . ضِمنيّ . مفهوم ضِمناً
TACIT         
KNOWLEDGE THAT IS DIFFICULT TO TRANSFER TO ANOTHER PERSON BY MEANS OF WRITING IT DOWN OR VERBALIZING IT
Tacit Knowledge; Tacit; Tacit knowing; Embodied knowledge; Implicit knowledge

الصفة

ضِمْنِيّ ; غائِب ; كامِن ; مُتَاح ; مُخْتَفٍ ; مَخْفِيّ ; مُسْتَتِر ; مُسْتَكِنّ ; مَسْتُور ; مُضْمَر ; مَفْهُومٌ ضِمْنًا ; مُقَدَّر

تعريف

knowledge representation
The subfield of artificial intelligence concerned with designing and using systems for storing knowledge - facts and rules about some subject. A body of formally represented knowledge is based on a conceptualisation - an abstract view of the world that we wish to represent. In order to manipulate this knowledge we must specify how the abstract conceptualisation is represented as a concrete data structure. An ontology is an explicit specification of a conceptualisation. (1994-10-19)

ويكيبيديا

Knowledge representation and reasoning

Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use 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.