Knowledge-based systems

According to the Free On-line Dictionary of Computing (FOLDOC), a knowledge-based system is a program for extending and/or querying a knowledge base.

The [ Computer User High-Tech Dictionary] defines a knowledge-based system as a computer system that is programmed to imitate human problem-solving by means of artificial intelligence and reference to a database of knowledge on a particular subject.

Knowledge-based systems are systems based on the methods and techniques of Artificial Intelligence. Their core components are the knowledge base and the inference mechanisms.

While for some authors expert systems, case-based reasoning systems and neural networks are all particular types of knowledge-based systems, there are others who consider that neural networks are different, and exclude it from this category.

KBS is a frequently used abbreviation for knowledge-based system.

External links

* [ FOLDOC definition]

Institutions involved in KBS research

* [ Knowledge-Based Systems Group, Institute of Information Systems, Computer Science Department, Vienna University of Technology]
* [ The KBS group, Department of Medical Cybernetics and Artificial Intelligence (IMKAI) at the Medical University of Vienna] Germany
* [ Knowledge-based Systems Group - Aachen University of Technology]
* [ Institute of Knowledge Based Systems and Knowledge Management-University of Siegen] India
* [ Knowledge Based Computer Systems (KBCS), C-DAC Mumbai] Japan
* [ Department of Knowledge System Science, School of Knowledge Science, Japan Advanced Institute of Science and Technology] Netherlands
* [ Design, Integration and Operations of Aircraft and Rotorcraft, Faculty of Aerospace Engineering, Delft University of Technology, The Netherlands] United States
* [ LIPS Group, Forney Hall of Chemical Engineering, Purdue University]

Periodicals on KBS related topics

* [ International Journal of Knowledge-Based and Intelligent Engineering Systems]
* [ Knowledge Based Systems, Elsevier]
* [ International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS)]

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