Abstract

In my dissertation, I am going to study the influence of experienced effort on learning and problem-solving behavior. In a simple navigation task on a computersimulated map, subjects have to acquire information on various levels of effort in different solution paths through experience. The experienced effort information allows subjects to improve their performance by finding faster solution paths on the map. I am planning to build ACT-R model to understand the underlying mechanisms. Specifically, I am interested in modeling the learning of the current effort and the downstream effort in ACTR theory, and how each of them can influence problemsolving behavior in the task.

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