Artificial General Intelligence

7th International Conference, AGI 2014, Quebec City, QC, Canada, August 1-4, 2014. Proceedings

  • Ben Goertzel
  • Laurent Orseau
  • Javier Snaider
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8598)

Table of contents

  1. Front Matter
  2. Jordi Bieger, Kristinn R. Thórisson, Deon Garrett
    Pages 1-10
  3. Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure
    Pages 33-42
  4. Seng-Beng Ho
    Pages 43-52
  5. Francis Leconte, François Ferland, François Michaud
    Pages 63-72
  6. Eric Nivel, Kristinn R. Thórisson, Bas R. Steunebrink, Haris Dindo, Giovanni Pezzulo, Manuel Rodríguez et al.
    Pages 85-96
  7. Laurent Orseau
    Pages 109-120
  8. Alexey Potapov, Sergey Rodionov
    Pages 133-142
  9. David V. Pynadath, Paul S. Rosenbloom, Stacy C. Marsella
    Pages 143-154
  10. Samer Schaat, Alexander Wendt, Matthias Jakubec, Friedrich Gelbard, Lukas Herret, Dietmar Dietrich
    Pages 155-164
  11. Claes Strannegård, Abdul Rahim Nizamani, Ulf Persson
    Pages 174-185
  12. Peter Sunehag, Marcus Hutter
    Pages 186-195
  13. Volkan Ustun, Paul S. Rosenbloom, Kenji Sagae, Abram Demski
    Pages 196-207

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Artificial General Intelligence, AGI 2014, held in Quebec City, QC, Canada, in August 2014. The 22 papers and 8 posters were carefully reviewed and selected from 65 submissions. Researchers have recognized the necessity of returning to the original goals of the field by treating intelligence as a whole. Increasingly, there is a call for a transition back to confronting the more difficult issues of "human-level intelligence" and more broadly artificial general intelligence. 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 in a certain sense. The AGI conference series has played, and continues to play, a significant role in this resurgence of research on artificial intelligence in the deeper, original sense of the term of "artificial intelligence". The conferences encourage interdisciplinary research based on different understandings of intelligence, and exploring different approaches.

Keywords

classification cognitive robotics heuristic search knowledge representation multi-agent systems neural networks reasoning transfer learning unsupervised learning

Editors and affiliations

  • Ben Goertzel
    • 1
  • Laurent Orseau
    • 2
  • Javier Snaider
    • 3
  1. 1.OpenCog FoundationTai PoHong Kong
  2. 2.AgroParisTechParisFrance
  3. 3.Google Inc.Mountain ViewUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09274-4
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-09273-7
  • Online ISBN 978-3-319-09274-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book