Investigation into the formation of representational associations in visual category learning, An
Category learning allows us to use previous information we have accumulated, and extend it to new situations. Multiple systems are proposed to underlie learning, including: an explicit, rule-based system, and an implicit, procedural system. Information integration tasks are thought to load heavily onto the latter. In these tasks, a high degree of accuracy is reached only if participants can integrate incommensurable dimensions, often without being able to verbally describe how they are categorizing each stimulus. Learning in this type of task is thought to occur as participants associate a given ...
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