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Titlebook: Artificial General Intelligence; 5th International Co Joscha Bach,Ben Goertzel,Matthew Iklé Conference proceedings 2012 Springer-Verlag Ber

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樓主: exterminate
41#
發(fā)表于 2025-3-28 17:21:11 | 只看該作者
https://doi.org/10.1007/978-94-011-3650-1alogies and show how it gives human-level performance on an intelligence test called the Odd One Out. In the second, we describe how the fractal technique enables the percept-to-action mapping in a simple, simulated world.
42#
發(fā)表于 2025-3-28 20:40:30 | 只看該作者
43#
發(fā)表于 2025-3-29 00:44:02 | 只看該作者
44#
發(fā)表于 2025-3-29 06:41:02 | 只看該作者
Decision Support for Safe AI Design, that the most probable finite stochastic program to explain a finite history is finitely computable, and that there is an agent that makes such a computation without any unintended instrumental actions. It also discusses the risks of running an AI in a simulated environment.
45#
發(fā)表于 2025-3-29 08:46:50 | 只看該作者
46#
發(fā)表于 2025-3-29 12:54:48 | 只看該作者
47#
發(fā)表于 2025-3-29 17:57:05 | 只看該作者
48#
發(fā)表于 2025-3-29 19:51:59 | 只看該作者
49#
發(fā)表于 2025-3-30 00:03:11 | 只看該作者
50#
發(fā)表于 2025-3-30 06:00:54 | 只看該作者
Noisy Reasoners: Errors of Judgement in Humans and AIs,ws the normative rules of probability theory. A number of reliable errors in human reasoning under uncertainty can be explained as the consequence of these systematic biases due to noise. Since AI systems are subject to noise, we should expect to see the same biases and errors in AI reasoning systems based on probability theory.
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