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Artificial General Intelligence

11th International Conference, AGI 2018, Prague, Czech Republic, August 22-25, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Matthew Iklé

    1. Adams State University, Alamosa, USA

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  2. Arthur Franz

    1. Odessa Competence Center for Artificial Intelligence (OCCAM), Odessa, Ukraine

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  3. Rafal Rzepka

    1. Hokkaido University, Sapporo, Japan

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  4. Ben Goertzel

    1. SingularityNET; OpenCog; Hanson Robotics, Hong Kong, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10999)

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

Included in the following conference series:

Conference proceedings info: AGI 2018.

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About this book

This book constitutes the proceedings of the 11th International Conference on Artificial General Intelligence, AGI 2018, held in Prague, Czech Republic, in August 2018.

The 19 regular papers and 10 poster papers presented in this book were carefully reviewed and selected from 52 submissions. The conference encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches. As the AI field becomes increasingly commercialized and well accepted, maintaining and emphasizing a coherent focus on the AGI goals at the heart of the field remains more critical than ever.

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Table of contents (29 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Hybrid Strategies Towards Safe “Self-Aware” Superintelligent Systems

    • Nadisha-Marie Aliman, Leon Kester
    Pages 1-11

  3. Request Confirmation Networks in MicroPsi 2

    • Joscha Bach, Katherine Gallagher
    Pages 12-20

  4. Task Analysis for Teaching Cumulative Learners

    • Jordi E. Bieger, Kristinn R. Thórisson
    Pages 21-31

  5. Associative Memory: An Spiking Neural Network Robotic Implementation

    • André Cyr, Frédéric Thériault, Matthew Ross, Sylvain Chartier
    Pages 32-41

  6. A Comprehensive Ethical Framework for AI Entities: Foundations

    • Andrej Dameski
    Pages 42-51

  7. Partial Operator Induction with Beta Distributions

    • Nil Geisweiller
    Pages 52-61

  8. Solving Tree Problems with Category Theory

    • Rafik Hadfi
    Pages 62-76

  9. Goal-Directed Procedure Learning

    • Patrick Hammer, Tony Lofthouse
    Pages 77-86

  10. Can Machines Design? An Artificial General Intelligence Approach

    • Andreas M. Hein, Hélène Condat
    Pages 87-99

  11. Resource-Constrained Social Evidence Based Cognitive Model for Empathy-Driven Artificial Intelligence

    • Anton Kolonin
    Pages 100-108

  12. Unsupervised Language Learning in OpenCog

    • Alex Glushchenko, Andres Suarez, Anton Kolonin, Ben Goertzel, Claudia Castillo, Man Hin Leung et al.
    Pages 109-118

  13. Functionalist Emotion Model in NARS

    • Xiang Li, Patrick Hammer, Pei Wang, Hongling Xie
    Pages 119-129

  14. Towards a Sociological Conception of Artificial Intelligence

    • Jakub Mlynář, Hamed S. Alavi, Himanshu Verma, Lorenzo Cantoni
    Pages 130-139

  15. Efficient Concept Formation in Large State Spaces

    • Fredrik Mäkeläinen, Hampus Torén, Claes Strannegård
    Pages 140-150

  16. DSO Cognitive Architecture: Implementation and Validation of the Global Workspace Enhancement

    • Khin Hua Ng, Zhiyuan Du, Gee Wah Ng
    Pages 151-161

  17. The Foundations of Deep Learning with a Path Towards General Intelligence

    • Eray Özkural
    Pages 162-173

  18. Zeta Distribution and Transfer Learning Problem

    • Eray Özkural
    Pages 174-184

  19. Vision System for AGI: Problems and Directions

    • Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Scherbakov, Innokentii Zhdanov, Nikolai Skorobogatko
    Pages 185-195

  20. Semantic Image Retrieval by Uniting Deep Neural Networks and Cognitive Architectures

    • Alexey Potapov, Innokentii Zhdanov, Oleg Scherbakov, Nikolai Skorobogatko, Hugo Latapie, Enzo Fenoglio
    Pages 196-206
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Other volumes

  1. Artificial General Intelligence

Editors and Affiliations

  • Adams State University, Alamosa, USA

    Matthew Iklé

  • Odessa Competence Center for Artificial Intelligence (OCCAM), Odessa, Ukraine

    Arthur Franz

  • Hokkaido University, Sapporo, Japan

    Rafal Rzepka

  • SingularityNET; OpenCog; Hanson Robotics, Hong Kong, China

    Ben Goertzel

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