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

Guffaw

書目名稱Artificial General Intelligence影響因子(影響力)




書目名稱Artificial General Intelligence影響因子(影響力)學科排名




書目名稱Artificial General Intelligence網絡公開度




書目名稱Artificial General Intelligence網絡公開度學科排名




書目名稱Artificial General Intelligence被引頻次




書目名稱Artificial General Intelligence被引頻次學科排名




書目名稱Artificial General Intelligence年度引用




書目名稱Artificial General Intelligence年度引用學科排名




書目名稱Artificial General Intelligence讀者反饋




書目名稱Artificial General Intelligence讀者反饋學科排名

Muffle

微粒

辯論的終結

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

以煙熏消毒

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

規(guī)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