Cognitive Science models repository
-Coin flipping (randomness and coincidence detection).
-Predicting the future.
-The number game.
-Prototype and exemplar models: mixture models.
-Fancy categorization: IRM, CrossCat, etc.
-Rule-based models (grammar-based induction).
-Elemental causal induction: delta-P, power-PC, causal support.
-Time (nitro-X, Tevye...)
-Grounded causal models.
-Word learning (shape bias).
-Framework theories for curve fitting.
-Structural forms for property induction.
-Cross-situational word learning.
Decision making and Planning
-Morality (qua game theory).
-Surface perception: texture/shading.
-Cue combination, perceptual explaining away.