Last Week

• CBR systems are good for domains where information comes from examples and there is not much theory.
• There are other similarity measurements aside from distance.
• CBR systems are defined by cases (consisting of features), and a distance measurement. You can also modify results.
• CBR systems, unlike rule based systems, are not Turing complete.
• Since RB systems are more powerful, what are they particularly good for?