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13th AGI 2020: St. Petersburg, Russia
- Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy:
Artificial General Intelligence - 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16-19, 2020, Proceedings. Lecture Notes in Computer Science 12177, Springer 2020, ISBN 978-3-030-52151-6 - Samuel Allen Alexander:
AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration. 1-11 - Nadisha-Marie Aliman, Pieter Elands, Wolfgang Hürst, Leon Kester, Kristinn R. Thórisson, Peter J. Werkhoven, Roman Yampolskiy, Soenke Ziesche:
Error-Correction for AI Safety. 12-22 - Nadisha-Marie Aliman, Leon Kester:
Artificial Creativity Augmentation. 23-33 - Aleksandr Bakhshiev, Anton M. Korsakov, Lev Stankevich:
The Hierarchical Memory Based on Compartmental Spiking Neuron Model. 34-43 - Skye Bougsty-Marshall:
The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents. 44-53 - Nikita Debelov, Petr Mukhachev, Anton Ivanov:
Approach for Development of Engineering Tools Based on Knowledge Graphs and Context Separation. 54-62 - Zhiyuan Du, Khin Hua Ng:
Towards Dynamic Process Composition in the DSO Cognitive Architecture. 63-71 - Leonard M. Eberding, Kristinn R. Thórisson, Arash Sheikhlar, Sindri P. Andrason:
SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners. 72-82 - Albert Efimov:
Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence. 83-94 - Daniel C. Elton:
Self-explaining AI as an Alternative to Interpretable AI. 95-106 - Sam Freed:
AGI Needs the Humanities. 107-115 - Sam Freed:
Report on "AI and Human Thought and Emotion". 116-120 - Bryan Fruchart, Benoit Le Blanc:
Cognitive Machinery and Behaviours. 121-130 - Ben Goertzel:
Combinatorial Decision Dags: A Natural Computational Model for General Intelligence. 131-141 - Ben Goertzel:
What Kind of Programming Language Best Suits Integrative AGI? 142-152 - Ben Goertzel, Andrés Suárez-Madrigal, Gino Yu:
Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities. 153-163 - Ben Goertzel, Mike Duncan, Debbie Duong, Nil Geisweiller, Hedra Seid, Abdulrahman Semrie, Man Hin Leung, Matthew Iklé:
Embedding Vector Differences Can Be Aligned with Uncertain Intensional Logic Differences. 164-171 - Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov:
Delta Schema Network in Model-Based Reinforcement Learning. 172-182 - Wael Hafez:
Information Digital Twin - Enabling Agents to Anticipate Changes in Their Tasks. 183-192 - Patrick Hammer, Tony Lofthouse:
'OpenNARS for Applications': Architecture and Control. 193-204 - Koen Holtman:
Towards AGI Agent Safety by Iteratively Improving the Utility Function. 205-215 - Aaron Hunter, Paul McCarlie:
Learning to Model Another Agent's Beliefs: A Preliminary Approach. 216-220 - Peter Isaev, Patrick Hammer:
An Attentional Control Mechanism for Reasoning and Learning. 221-230 - Alexey K. Kovalev, Aleksandr I. Panov, Evgeny Osipov:
Hyperdimensional Representations in Semiotic Approach to AGI. 231-241 - Yoshihiro Maruyama:
The Conditions of Artificial General Intelligence: Logic, Autonomy, Resilience, Integrity, Morality, Emotion, Embodiment, and Embeddedness. 242-251 - Vasiliy Mazin:
Position Paper: The Use of Engineering Approach in Creation of Artificial General Intelligence. 252-256 - Nikolay Mikhaylovskiy:
How Do You Test the Strength of AI? 257-266 - Eray Özkural:
Omega: An Architecture for AI Unification. 267-278 - Alexey Potapov, Oleg Scherbakov, Vitaly Bogdanov, Vita Potapova, Anatoly Belikov, Sergey Rodionov, Artem Yashenko:
Analyzing Elementary School Olympiad Math Tasks as a Benchmark for AGI. 279-289 - Alexey Redozubov, Dmitry Klepikov:
The Meaning of Things as a Concept in a Strong AI Architecture. 290-300 - Alexei V. Samsonovich, Arthur A. Chubarov, Daria V. Tikhomirova, Alexander A. Eidlin:
Toward a General Believable Model of Human-Analogous Intelligent Socially Emotional Behavior. 301-305 - Arash Sheikhlar, Kristinn R. Thórisson, Leonard M. Eberding:
Autonomous Cumulative Transfer Learning. 306-316 - Charles J. Simon:
New Brain Simulator II Open-Source Software. 317-321 - Valerio Targon:
Experience-Specific AGI Paradigms. 322-326 - Daria V. Tikhomirova, Maria V. Zavrajnova, Ellina A. Rodkina, Yasamin Musayeva, Alexei V. Samsonovich:
Psychological Portrait of a Virtual Agent in the Teleport Game Paradigm. 327-336 - Evgenii E. Vityaev, Alexander V. Demin, Yurii A. Kolonin:
Logical Probabilistic Biologically Inspired Cognitive Architecture. 337-346 - Pei Wang, Patrick Hammer, Hongzheng Wang:
An Architecture for Real-Time Reasoning and Learning. 347-356 - Andy E. Williams:
A Model for Artificial General Intelligence. 357-369
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