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Artificial General Intelligence

9th International Conference, AGI 2016, New York, NY, USA, July 16-19, 2016, Proceedings

  • Bas Steunebrink
  • Pei Wang
  • Ben Goertzel

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9782)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9782)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Tom Everitt, Daniel Filan, Mayank Daswani, Marcus Hutter
    Pages 1-11
  3. Tom Everitt, Marcus Hutter
    Pages 12-22
  4. Jarryd Martin, Tom Everitt, Marcus Hutter
    Pages 23-32
  5. David (Weaver) Weinbaum, Viktoras Veitas
    Pages 43-52
  6. James Babcock, János Kramár, Roman Yampolskiy
    Pages 53-63
  7. Garrett Katz, Di-Wei Huang, Rodolphe Gentili, James Reggia
    Pages 64-73
  8. Arthur Franz
    Pages 74-83
  9. Paul S. Rosenbloom, Abram Demski, Volkan Ustun
    Pages 84-94
  10. Alexey Potapov, Sergey Rodionov, Vita Potapova
    Pages 95-105
  11. Kristinn R. Thórisson, David Kremelberg, Bas R. Steunebrink, Eric Nivel
    Pages 106-117
  12. Kristinn R. Thórisson, Jordi Bieger, Thröstur Thorarensen, Jóna S. Sigurðardóttir, Bas R. Steunebrink
    Pages 118-128
  13. Bas R. Steunebrink, Kristinn R. Thórisson, Jürgen Schmidhuber
    Pages 129-139
  14. Pei Wang, Max Talanov, Patrick Hammer
    Pages 150-159
  15. Patrick Hammer, Tony Lofthouse, Pei Wang
    Pages 160-170
  16. Claes Strannegård, Abdul Rahim Nizamani
    Pages 171-180
  17. Claes Strannegård, Abdul Rahim Nizamani, Ulf Persson
    Pages 181-191
  18. Scott Garrabrant, Tsvi Benson-Tilsen, Siddharth Bhaskar, Abram Demski, Joanna Garrabrant, George Koleszarik et al.
    Pages 202-211
  19. Nico Potyka, Danny Gómez-Ramírez, Kai-Uwe Kühnberger
    Pages 212-222
  20. Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
    Pages 258-261
  21. Andrew MacFie
    Pages 284-293
  22. András Lőrincz, András Sárkány, Zoltán Á. Milacski, Zoltán Tősér
    Pages 294-304
  23. Harry H. Porter III
    Pages 305-313
  24. Ben Goertzel, Misgana Bayetta Belachew, Matthew Ikle’, Gino Yu
    Pages 334-343
  25. Back Matter
    Pages 363-364

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016.

The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind inSelf a certain sense.


Keywords

agent architectures cognitive modeling distributed AI mulit-agent interaction reinforcement learning autonomy benchmarks and evaluation collaborative intelligence formal models of general intelligence implications of AGI for society, economy and ecology knowledge representation for general intelligence languages, specification approaches and toolkits learning, and learning theory motivation, emotion and affect natural language understanding neural-symbolic processing perception and perceptual modeling reasoning, inference and planning robotic and virtual embodiment simulation and emergent behavior

Editors and affiliations

  • Bas Steunebrink
    • 1
  • Pei Wang
    • 2
  • Ben Goertzel
    • 3
  1. 1.Galleria 1IDSIAMannoSwitzerland
  2. 2.Temple UniversityPhoenixvilleUSA
  3. 3.Hong Kong Polytechnic UniversityHong KongHong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-41649-6
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-41648-9
  • Online ISBN 978-3-319-41649-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site