Artificial Intelligence

Ripple-Down Rules: The Alternative to Machine Learning

Name: Ripple-Down Rules: The Alternative to Machine Learning
Brand: Chapman and Hall/CRC
SKU: 9780367647667
Price: 27179.00 INR
Availability: InStock
ISBN: 9780367647667

Contributor(s): Compton, Paul Author , Kang, Byeong Ho Author Format: Hardback

Hardback · ISBN 9780367647667

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Key Specifications

ISBN	9780367647667
Publisher	Chapman and Hall/CRC
Publication date	May 2021
Language	English
MRP	£171.99 GBP
Page count	198
Item weight	101 g

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of data.

Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems. It suggests that problems with knowledge acquisition arise because of mistaken philosophical assumptions about knowledge. It argues people never really explain how they reach a conclusion, rather they justify their conclusion by differentiating between cases in a context. RDR is based on this more situated understanding of knowledge. The central features of a RDR approach are explained, and detailed worked examples are presented for different types of RDR, based on freely available software developed for this book. The examples ensure developers have a clear idea of the simple yet counter-intuitive RDR algorithms to easily build their own RDR systems.

It has been proven in industrial applications that it takes only a minute or two per rule to build RDR systems with perhaps thousands of rules. The industrial uses of RDR have ranged from medical diagnosis through data cleansing to chatbots in cars. RDR can be used on its own or to improve the performance of machine learning or other methods.

Ripple-Down Rules: The Alternative to Machine Learning

Key Specifications

Compton, Paul Author

Kang, Byeong Ho Author

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