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Artificial General Intelligence

13th International Conference, AGI 2020, St. Petersburg, Russia, September 16–19, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Ben Goertzel

    1. SingularityNET Foundation, Amsterdam, The Netherlands

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  2. Aleksandr I. Panov

    1. Moscow Institute of Physics and Technology, Dolgoprudny, Russia

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  3. Alexey Potapov

    1. SingularityNET Foundation, Amsterdam, The Netherlands

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  4. Roman Yampolskiy

    1. University of Louisville, Louisville, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12177)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AGI 2020.

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About this book

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.

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Keywords

Table of contents (38 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. AGI and the Knight-Darwin Law: Why Idealized AGI Reproduction Requires Collaboration

    • Samuel Allen Alexander
    Pages 1-11

  3. Error-Correction for AI Safety

    • Nadisha-Marie Aliman, Pieter Elands, Wolfgang Hürst, Leon Kester, Kristinn R. Thórisson, Peter Werkhoven et al.
    Pages 12-22

  4. Artificial Creativity Augmentation

    • Nadisha-Marie Aliman, Leon Kester
    Pages 23-33

  5. The Hierarchical Memory Based on Compartmental Spiking Neuron Model

    • Aleksandr Bakhshiev, Anton Korsakov, Lev Stankevich
    Pages 34-43

  6. The Dynamics of Growing Symbols: A Ludics Approach to Language Design by Autonomous Agents

    • Skye Bougsty-Marshall
    Pages 44-53

  7. Approach for Development of Engineering Tools Based on Knowledge Graphs and Context Separation

    • Nikita Debelov, Petr Mukhachev, Anton Ivanov
    Pages 54-62

  8. Towards Dynamic Process Composition in the DSO Cognitive Architecture

    • Zhiyuan Du, Khin Hua Ng
    Pages 63-71

  9. SAGE: Task-Environment Platform for Evaluating a Broad Range of AI Learners

    • Leonard M. Eberding, Kristinn R. Thórisson, Arash Sheikhlar, Sindri P. Andrason
    Pages 72-82

  10. Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence

    • Albert Efimov
    Pages 83-94

  11. Self-explaining AI as an Alternative to Interpretable AI

    • Daniel C. Elton
    Pages 95-106

  12. AGI Needs the Humanities

    • Sam Freed
    Pages 107-115

  13. Report on “AI and Human Thought and Emotion”

    • Sam Freed
    Pages 116-120

  14. Cognitive Machinery and Behaviours

    • Bryan Fruchart, Benoit Le Blanc
    Pages 121-130

  15. Combinatorial Decision Dags: A Natural Computational Model for General Intelligence

    • Ben Goertzel
    Pages 131-141

  16. What Kind of Programming Language Best Suits Integrative AGI?

    • Ben Goertzel
    Pages 142-152

  17. Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities

    • Ben Goertzel, Andrés Suárez-Madrigal, Gino Yu
    Pages 153-163

  18. Embedding Vector Differences Can Be Aligned with Uncertain Intensional Logic Differences

    • Ben Goertzel, Mike Duncan, Debbie Duong, Nil Geisweiller, Hedra Seid, Abdulrahman Semrie et al.
    Pages 164-171

  19. Delta Schema Network in Model-Based Reinforcement Learning

    • Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov
    Pages 172-182

  20. Information Digital Twin—Enabling Agents to Anticipate Changes in Their Tasks

    • Wael Hafez
    Pages 183-192
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Other volumes

  1. Artificial General Intelligence

Editors and Affiliations

  • SingularityNET Foundation, Amsterdam, The Netherlands

    Ben Goertzel, Alexey Potapov

  • Moscow Institute of Physics and Technology, Dolgoprudny, Russia

    Aleksandr I. Panov

  • University of Louisville, Louisville, USA

    Roman Yampolskiy

Bibliographic Information

  • Book Title: Artificial General Intelligence

  • Book Subtitle: 13th International Conference, AGI 2020, St. Petersburg, Russia, September 16–19, 2020, Proceedings

  • Editors: Ben Goertzel, Aleksandr I. Panov, Alexey Potapov, Roman Yampolskiy

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-52152-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-52151-6Published: 07 July 2020

  • eBook ISBN: 978-3-030-52152-3Published: 06 July 2020

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 372

  • Number of Illustrations: 52 b/w illustrations, 39 illustrations in colour

  • Topics: Artificial Intelligence, Software Engineering, User Interfaces and Human Computer Interaction

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