Cognitive Science models repository
From Church Wiki
Contents |
Basic models
-Coin flipping (randomness and coincidence detection).
-Representativeness.
-Predicting the future.
-The number game.
Categorization
-Prototype and exemplar models: mixture models.
-Property-based induction.
-Fancy categorization: IRM, CrossCat, etc.
-Rule-based models (grammar-based induction).
Function learning
-Bayesian regression.
Causality
-Bayes nets.
-Elemental causal induction: delta-P, power-PC, causal support.
-Time (nitro-X, Tevye...)
-Causal schemata.
-Grounded causal models.
Overhypotheses
-Bags-o-marbles.
-Word learning (shape bias).
-Framework theories for curve fitting.
-Structural forms for property induction.
-Causal schemata.
Language
-PCFG
-Cross-situational word learning.
-CCG?
Decision making and Planning
Social cognition
-Goal inference.
-Preference learning.
-Belief stuff.
-Morality (qua game theory).
Objects
Vision
-Brightness constancy.
-Surface perception: texture/shading.
-Cue combination, perceptual explaining away.
-Grouping principles.
