Insight and Strategy in Multiple Cue Learning
- Topics:
- Competitive Strategy,
- Strategy Formulation
- Source:
- University College London
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Overview: In multiple-cue learning (also known as probabilistic category learning) people acquire information about cue-outcome relations and combine these into predictions or judgments. Previous studies claim that people can achieve high levels of performance without explicit knowledge of the task structure or insight into their own judgment policies. It has also been argued that people use a variety of suboptimal strategies to solve such tasks.
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Format: PDF | Size: 306KB | Date: Jan 2006 | Pages: 68
