Eyke Hüllermeier, "Case-Based Approximate Reasoning"
Springer; 1 edition (March 5, 2007) | ISBN: 140205694X | 372 pages | PDF | 4,4 Mb
Case-based reasoning (CBR) has received a great deal of attention in recent years and 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. More precisely, CBR proceeds from individual experiences in the form of cases. The generalization beyond these experiences typically relies on a kind of regularity assumption demanding that 'similar problems have similar solutions'.