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

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發(fā)表于 2025-3-21 17:50:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial General Intelligence
期刊簡(jiǎn)稱(chēng)14th International C
影響因子2023Ben Goertzel,Matthew Iklé,Alexey Potapov
視頻videohttp://file.papertrans.cn/163/162038/162038.mp4
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Artificial General Intelligence; 14th International C Ben Goertzel,Matthew Iklé,Alexey Potapov Conference proceedings 2022 Springer Nature
影響因子This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021..The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the?roles of systems biology, goal generation, and learning systems, and so much more..
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書(shū)目名稱(chēng)Artificial General Intelligence影響因子(影響力)




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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
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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
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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
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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
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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
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