Over the past decade or so, researchers have developed a variety of computational models based on artificial neural networks (ANNs). While many of these models have been found to perform well on specific tasks, they are not always able to identify iterative, sequential or algorithmic strategies that can be applied to new problems.
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A memory-augmented, artificial neural network-based architecture
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