An Account of Model Inspiration, Integration, and Sub-task Validation


The promise of reuse is a motivator for, and benefit from, developing cognitive models. Another benefit is the integration of previously developed models into a single model capable of making predictions across different tasks than either of the contributing models could make alone. In the current paper, I explicate the development of a model through the integration of, and inspiration from, two previously published models. The composite was developed for a context different from the constituent models’ original contexts, and demonstrates a success of inspiration and integration.

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