Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Inductive reasoning is one of the important characteristics of human intelligence. Researchers have regarded inductive reasoning as one of the seven primary mental abilities that ...
Case-based problem-solving systems rely on similarity assessment to select stored cases whose solutions are easily adaptable to t current problems. However, widely-used similarity...
Constraint satisfaction consistency preprocessing methods are used to reduce search e ort. Time and especially space costs limit the amount of preprocessing that will be cost e ec...
: Tasks such as forecasting, diagnosis, and planning frequently require quantitative predictions . Typically, quantitative predictions are obtained by characterizing a system in te...