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Titlebook: Artificial General Intelligence; 7th International Co Ben Goertzel,Laurent Orseau,Javier Snaider Conference proceedings 2014 Springer Inter

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Zixuan Li,Fengming Yu,Osamu Saito,Yoji Okabeeral cognitive architecture like Sigma. This paper describes a new algorithm for learning such word representations from large, shallow information resources, and how this algorithm can be implemented via small modifications to Sigma. The effectiveness and speed of the algorithm are evaluated via a
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Raising AI: Tutoring Matters,s of intelligence and autonomy on their own: they are raised by parents and caregivers in a society with peers and seniors, who serve as teachers and examples. Current methods for developing artificial learning systems typically do not account for this. This paper gives a taxonomy of the main method
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Autobiography Based Prediction in a Situated AGI Agent, ., initialize it with the desired start state and use it to . possible future scenarios. In this paper we propose an alternative approach where there is no explicit model building involved. The agent memorizes its personal autobiography in an unprocessed narrative form. When a prediction is needed,
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