Artificial General Intelligence : 14th International Conference, AGI 2021, Palo Alto, CA, USA, October 15–18, 2021, Proceedings / edited by Ben Goertzel, Matthew Iklé, Alexey Potapov
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 13154)
データ種別 | 電子ブック |
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版 | 1st ed. 2022. |
出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2022 |
大きさ | XI, 367 p. 65 illus : online resource |
著者標目 | Goertzel, Ben editor Iklé, Matthew editor Potapov, Alexey editor SpringerLink (Online service) |
書誌詳細を非表示
一般注記 | Artificial General Intelligence -- Artificial Intelligence.-Natural language processing. Knowledge representation and reasoning -- Cognitive science -- Intelligent agents -- Multi-agent systems -- Cognitive robotics -- Computer vision -- Machine learning -- Unsupervised learning -- Reinforcement learning -- Transfer learning. Deep learning -- Neural networks. Probabilistic graphical models -- Inductive learning 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 HTTP:URL=https://doi.org/10.1007/978-3-030-93758-4 |
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件 名 | LCSH:Artificial intelligence LCSH:Software engineering LCSH:Machine theory LCSH:Application software LCSH:Social sciences—Data processing LCSH:Computers FREE:Artificial Intelligence FREE:Software Engineering FREE:Formal Languages and Automata Theory FREE:Computer and Information Systems Applications FREE:Computer Application in Social and Behavioral Sciences FREE:Computing Milieux |
分 類 | LCC:Q334-342 LCC:TA347.A78 DC23:006.3 |
書誌ID | EB00002136 |
ISBN | 9783030937584 |
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