Abstract
In this chapter, we will introduce case-based expert systems, an example of the Artificial Intelligence branch of our Autonomous Learning taxonomy. There are two broad classes of expert systems, rule-based and case-based. Rule-based systems have a set of rules that are applied to come to a decision; they are just a more organized way of writing decision statements in computer code. These systems provide a way of automating the process when decision-making involves hundreds or thousands of rules. Case-based systems decide by example, that is, a set of predefined cases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Michael Paluszek and Stephanie Thomas
About this chapter
Cite this chapter
Paluszek, M., Thomas, S. (2019). Case-Based Expert Systems. In: MATLAB Machine Learning Recipes. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3916-2_14
Download citation
DOI: https://doi.org/10.1007/978-1-4842-3916-2_14
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3915-5
Online ISBN: 978-1-4842-3916-2
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)