Basic idea is that training will involve learning the label (e.g., fep vs. wug), where the (boolean) properties vary across exemplars. We should pick out a simple example from the boolean category learning paradigm.
The game core should be refactored a bit to allow for easy manipulation of the concepts.
Basic idea is that training will involve learning the label (e.g., fep vs. wug), where the (boolean) properties vary across exemplars. We should pick out a simple example from the boolean category learning paradigm.
The game core should be refactored a bit to allow for easy manipulation of the concepts.