What do you mean by knowledge representation?

Definition. Knowledge representation refers to the technical problem of encoding human knowledge and reasoning ( Automated Reasoning) into a symbolic language that enables it to be processed by information systems.

What do you mean by knowledge representation and what are its techniques in artificial intelligence?

Knowledge Representation is a field of artificial intelligence that is concerned with presenting real-world information in a form that the computer can ‘understand’ and use to ‘solve’ real-life problems or ‘handle’ real-life tasks.

What are the characteristics of good knowledge representation techniques?

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.

Why is knowledge representation?

A knowledge representation (KR) is most fundamentally a surrogate, a substitute for the thing itself, used to enable an entity to determine consequences by thinking rather than acting, i.e., by reasoning about the world rather than taking action in it.

What is knowledge representation in knowledge management?

Knowledge representation involves representing the key concepts and relations between the decision variables in some formal manner, typically within a framework suggested by an expert systems shell.

What is the knowledge representation in AI?

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.

What is the form of knowledge representation *?

The forms of knowledge representation typically used in expert systems are: structured objects (frames, semantic networks, object-oriented principles), rules (if-then) and logic (predicate, proposi- tional).

What is knowledge representation in psychology?

Knowledge representation is a key concept in cognitive science and psychology. In other words: The capability of performing intelligent behavior is associated with the existence of applicable knowledge. By relating intelligence and knowledge, the system’s behavior becomes more or less reconstructible and predictable.

What is knowledge representation in cognitive psychology?

How Knowledge Representation and Reasoning is done in AI?

What are the techniques of knowledge representation?

Knowledge representation techniques. All of these, in different ways, involve hierarchical representation of data. Lists – linked lists are used to represent hierarchical knowledge. Trees – graphs which represent hierarchical knowledge. LISP, the main programming language of AI, was developed to process lists and trees.

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.

What is knowledge representation in AI?

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.