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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 Okabecomparison of an external simulation of it with state-of-the-art algorithms. The results from more limited experiments with Sigma are also promising, but more work is required for it to reach the effectiveness and speed of the simulation.
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Artificial General Intelligence978-3-319-09274-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Electronics for Particle Detectors,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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J. C. Sutton,T. J. Gillespie,T. D. W. Jamesrk. However, a self-modifying AGI that sees future versions of itself as an ordinary part of the environment may run into problems of self-reference. We show that in one particular model based on formal logic, naive approaches either lead to incorrect reasoning that allows an agent to put off an imp
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J. C. Sutton,T. J. Gillespie,T. D. W. Jamesout regard to what the “true” causes really are. A rapid causal learning process is devised for temporally correlated events that can be observed proximally which is sufficient for the learning of many causalities involving basic physical and social phenomena. The system relies on a . aspect of caus
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