Challenges in CBR for Context Awareness in Ambient Intelligent Systems

One of the most important issues in an ambient intelligent environment, indeed in any problem-solving situation, is the ability of a system to appreciate its environment and assess the situation in which problems are to be solved. Recently, case-based reasoning has gained some momentum in the area of context awareness for ambient intelligent systems. When applying case-based reasoning in this type of system some challenges arises, each well known for case-based reasoning in general, but each gaining a new particular angle. The main challenges are: how to acquire the initial cases, coping with the potential for a very large amount of cases, when to execute a case-based reasoning process, and knowing if the reasoning was correct. The work presented here builds on the experiences gained by applying case-based reasoning to situations assessment. It will analyse each of these challenges from the perspective of different domains, and give some suggestions as to how to best approach these challenges.