Titlebook: Artificial General Intelligence; 14th International C Ben Goertzel,Matthew Iklé,Alexey Potapov Conference proceedings 2022 Springer Nature

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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

MUTE

obscurity

大门在汇总

D. Müting,G. Winter,J. F. Kalk,R. Fischer Solution would qualify as artificial general intelligence. We then explain how natural language may emerge and be acquired by such an agent, conferring the ability to model the intent of other individuals labouring under similar compulsions, because an abstract symbol system and the solution to a t

apiary

D. Müting,G. Winter,J. F. Kalk,R. Fischerexplanation of The Fermi Paradox and preceding work on symbol emergence and artificial general intelligence. The latter suggests that to infer what someone means, an agent constructs a rationale for the observed behaviour of others. Communication then requires two agents labour under similar compuls

insipid

Alexandre Nakao Odashiro MD, PhDGI. In particular, current approaches to learning hold notions of problem domain and problem task as fundamental precepts, but it is hardly apparent that an AGI encountered in the wild will be discernable into a set of domain-task pairings. Nor is it apparent that the outcomes of AGI in a system can

Musket

Jennifer M Kirstein,Ann F. Chambers PhDby providing evidence of progress towards more complicated tasks can developers aiming for general machine intelligence (GMI) ascertain their progress towards that goal. No such measure for this exists at present. In this work we propose a new measure of the . of tasks, especially designed to descri

外貌

Costume

jet-lag

T. A. Gennarelli,J. H. Adams,D. I. Grahamr. Tolman’s ideas on latent learning and cognitive maps eventually led to what is now known as conceptual space, a geometric representation where concepts and ideas can form points or shapes. Active navigation between ideas – reasoning – can be expressed directly as purposive navigation in conceptua