This paper describes how CBR can be used to compare, reuse, and adapt inductive models that represent complex systems. Complex systems are not well understood and therefore require...
Rosina Weber, Jason M. Proctor, Ilya Waldstein, An...
In an attempt to support traditional classroom assessment processes with fully computerized methods, we have developed a method for adaptive assessment suitable for well structured...
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
In [1] we propose interchangeability based algorithms as methods for solving the case adaptation for the domain of problems which can be expressed as Constraint Satisfaction Proble...
In a field of research about general reasoning mechanisms, it is essential to have appropriate benchmarks. Ideally, the benchmarks should reflect possible applications of the deve...