Titlebook: Artificial General Intelligence; 13th International C Ben Goertzel,Aleksandr I. Panov,Roman Yampolskiy Conference proceedings 2020 Springer

Guffaw

书目名称Artificial General Intelligence影响因子(影响力)




书目名称Artificial General Intelligence影响因子(影响力)学科排名




书目名称Artificial General Intelligence网络公开度




书目名称Artificial General Intelligence网络公开度学科排名




书目名称Artificial General Intelligence被引频次




书目名称Artificial General Intelligence被引频次学科排名




书目名称Artificial General Intelligence年度引用




书目名称Artificial General Intelligence年度引用学科排名




书目名称Artificial General Intelligence读者反馈




书目名称Artificial General Intelligence读者反馈学科排名

Muffle

微粒

辩论的终结

The Hierarchical Memory Based on Compartmental Spiking Neuron Model,o create biologically-inspired memory models suitable for implementing the processes of features memorizing and high-level concepts. The presented architecture allows us to describe the bidirectional hierarchical structure of associative concepts related both in terms of generality and in terms of p

Diatribe

PALL

天真

以烟熏消毒

overbearing

Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence,tests. It is shown that the prerequisites A. Turing drew upon when reducing personality and human consciousness to “suitable branches of thought” reflected the engineering level of his time. In fact, the Turing “imitation game” employed only symbolic communication and ignored the physical world. Thi

规范要多

Self-explaining AI as an Alternative to Interpretable AI,utonomous vehicles. While it is often possible to approximate the input-output relations of deep neural networks with a few human-understandable rules, the discovery of the double descent phenomena suggests that such approximations do not accurately capture the mechanism by which deep neural network