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CNN is used since, it is effectively an optimized use case for dealing with image data. CNN effectively automatically extracts features from an images. Other techniques are more likely to not take full advantage of the data. CNN is able to make full use of the data by also including information from adjacent pixels and downsample through layers. Paper ...


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Task Specification It's been proposed that novelty search may circumvent this problem. See: Abandoning Objectives: Evolution Through the Search for Novelty Alone. In this model, the agent has no goal or objective, but just messes around with the data to see what results. (This could be regarded as finding/forming patterns. Here's a recent popular ...


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I am focusing on what you have posted here without going through (or having read) the whole essay you linked: In the classic ‘brain in a vat’ thought experiment, the brain, when temporarily disconnected from its input and output channels, is thinking, feeling, creating explanations — it has all the cognitive attributes of an AGI. So the relevant ...


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