Make Case-Based Approximate Reasoning a Reality

October 23, 2011

I stumbled across an interesting book on Amazon.com that has received a great deal of attention over he past few years. The book is called Case-Based Approximate Reasoning (CBR) by Eyke Hullermeier.

CBR has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. One reviewer wrote:

In the last years developments were very successful that have been based on the general concept of case-based reasoning. … will get a lot of attention and for a good while will be the reference for many applications and further research. … the book can be used as an excellent guideline for the implementation of problem-solving programs, but also for courses in Artificial and Computational Intelligence. Everybody who is involved in research, development and teaching in Artificial Intelligence will get something out of it.

The problem with CBR can be the time, effort, and cost required to create and maintain the rules. Automated systems work well if the inputs do not change. Flip in some human unpredictability and the CBR system can require baby sitting.

Jasmine Ashton, October 23, 2011

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