Artificial General Intelligence  13th International Conference, AGI 2020, St. Petersburg, Russia, September 16-19, 2020, Proceedings /  [electronic resource] : 
edited by Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy. 
 - 1st ed. 2020. 
 - XI, 372 p. 91 illus., 39 illus. in color.  online resource. 
 - Lecture Notes in Artificial Intelligence,  12177  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  12177 .
<br/><br/>AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration -- Error-Correction for AI Safety -- Artificial Creativity Augmentation -- The hierarchical memory based on compartmental spiking neuron model -- The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents -- Approach for development of engineering tools based on knowledge graphs and context separation -- Towards Dynamic Process Composition in the DSO Cognitive Architecture -- SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners -- Post-Turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence -- Self-explaining AI as an alternative to interpretable AI -- AGI needs the Humanities -- A report of a recent book: "AI and Human Thought and Emotion" -- Cognitive Machinery and Behaviours -- Combinatorial Decision Dags: A Natural Computational Model for General Intelligence -- What Kind of Programming Language Best Suits Integrative AGI? -- Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities -- Embedding Vector Differences Can Be Aligned With Uncertain Intensional Logic Differences -- Delta Schema Network in Model-based Reinforcement Learning -- Information Digital Twin
<br/><br/> This book constitutes the refereed proceedings of the 13th International Conference on Artificial General Intelligence, AGI 2020, held in St. Petersburg, Russia, in September 2020. The 30 full papers and 8 short papers presented in this book were carefully reviewed and selected from 60 submissions. The papers cover topics such as AGI architectures, artificial creativity and AI safety, transfer learning, AI unification and benchmarks for AGI. 
<br/><br/><label>ISBN: </label>9783030521523 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-52152-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Software engineering.<br/>User interfaces (Computer systems).<br/>Human-computer interaction.<br/>Artificial Intelligence.<br/>Software Engineering.<br/>User Interfaces and Human Computer Interaction.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3