We present a computational model for solving Raven’s Progressive Matrices. This model combines qualitative spatial representations with analogical comparison via structuremapping. All representations are automatically computed by the model. We show that it achieves a level of performance on the Standard Progressive Matrices that is above that of most adults, and that the problems it fails on are also the hardest for people.
|Title of host publication||Proceedings of CogSci10|
|State||Published - 2010|
|Event||Proceedings of CogSci10 - Portland, OR|
Duration: Aug 1 2010 → …
|Conference||Proceedings of CogSci10|
|Period||8/1/10 → …|