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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
21#
發(fā)表于 2025-3-25 06:43:28 | 只看該作者
V. V. Panasyuk,L. T. Berezhnitskijn we present several new test settings considering competition and cooperation, where we evaluate the “social intelligence” of several reinforcement learning algorithms. The results show that evaluating social intelligence.
22#
發(fā)表于 2025-3-25 09:01:55 | 只看該作者
V. V. Panasyuk,L. T. Berezhnitskijkle that includes structural scanning (a way to obtain the “connectome”) as well as new tools for functional recording. We examine the scale of the endeavor, and the many challenges that remain, as we consider specific approaches to System Identification in neural circuitry.
23#
發(fā)表于 2025-3-25 15:15:51 | 只看該作者
Perception Processing for General Intelligence: Bridging the Symbolic/Subsymbolic Gap,chnical report has described in detail the revisions to DeSTIN needed to support this integration, which are mainly along the lines of making it more ”representationally transparent,” so that its internal states are easier for OpenCog to understand.
24#
發(fā)表于 2025-3-25 16:16:47 | 只看該作者
25#
發(fā)表于 2025-3-25 21:14:52 | 只看該作者
On Measuring Social Intelligence: Experiments on Competition and Cooperation,n we present several new test settings considering competition and cooperation, where we evaluate the “social intelligence” of several reinforcement learning algorithms. The results show that evaluating social intelligence.
26#
發(fā)表于 2025-3-26 00:22:03 | 只看該作者
Toward Tractable AGI: Challenges for System Identification in Neural Circuitry,kle that includes structural scanning (a way to obtain the “connectome”) as well as new tools for functional recording. We examine the scale of the endeavor, and the many challenges that remain, as we consider specific approaches to System Identification in neural circuitry.
27#
發(fā)表于 2025-3-26 05:49:14 | 只看該作者
Conference proceedings 2012s. The papers are written by leading scientists involved in research and development of AI systems possessing general intelligence at the human level and beyond; with a special focus on humanoid robotics and AGI, cognitive robotics, creativity and AGI, the future evolution of advanced AGIs, and the dynamics of AGI goal systems.
28#
發(fā)表于 2025-3-26 09:50:44 | 只看該作者
https://doi.org/10.1007/978-3-319-32634-4l approaches. The paper argues for the usage of logical approaches for the modeling of manifestations of creativity in order to step further towards the goal of building an artificial general intelligence.
29#
發(fā)表于 2025-3-26 14:05:04 | 只看該作者
30#
發(fā)表于 2025-3-26 20:41:50 | 只看該作者
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