Synonyms
Definition
A knowledge-based system is a computer program that uses a knowledge base with an inference engine in order to solve problems that usually require significant specialized human expertise. It embodies the problem-solving knowledge of a human expert in a narrowly defined domain and it is able to extend that body of knowledge through its inference engine or query system.
Characteristics
People who possess specialized knowledge of a particular domain are called experts. This knowledge may take the form of a set of rules or heuristics about how to deal with particular circumstances and problems. Expert knowledge can be embodied in a computer through techniques of knowledge acquisition, knowledge representation, and knowledge engineering: a knowledge baseis a collection of such knowledge. Knowledge-based systems combine a knowledge base with automated inference mechanisms: they replicate the cognitive processes that are employed by experts when solving...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Giarratano J, Riley G (1998) Expert systems: principles and programming, 3rd edn. PWS Publishing, Boston. ISBN 0-534-95053-1
King RD, Rowland J, Oliver SG, Young M, Aubrey W, Byrne E, Liakata M, Markham M, Pir P, Soldatova LN, Sparkes A, Whelan KE, Clare A (2009) The automation of science. Science 324(5923):85–89
Liao SH (2004) Expert system methodologies and applications – a decade review from 1995 to 2004. Expert Syst Appl 28(1):93–103
Negnevitsky M (2002) Artificial intelligence: a guide to intelligent systems, 1st edn. Addison-Wesley, New York, An imprint of Pearson Education. ISBN 0-201-71159-1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media, LLC
About this entry
Cite this entry
Swain, M. (2013). Knowledge-based System. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_596
Download citation
DOI: https://doi.org/10.1007/978-1-4419-9863-7_596
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-9862-0
Online ISBN: 978-1-4419-9863-7
eBook Packages: Biomedical and Life SciencesReference Module Biomedical and Life Sciences