Explanation-based learning tries to build an explanation of a situation in order to generalise its learning. For example, if a cup has just fallen to the floor, a robot may work out that this happened because it bumped the table as it moved, and therefore create new rules to slow down when close to tables with objects near the edge. Without unpacking the explanation, the robot might simply learn to avoid going close to the particular table.
Used in Chap. 5: pages 64, 70, 71, 73
Also known as EBL