Artificial General Intelligence

8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings

  • Jordi Bieger
  • Ben Goertzel
  • Alexey Potapov

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9205)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9205)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Papers Presented Orally

    1. Front Matter
      Pages 1-1
    2. Joscha Bach
      Pages 3-13
    3. Frank Bergmann, Brian Fenton
      Pages 25-34
    4. Tarek R. Besold, Kai-Uwe Kühnberger, Artur d’Avila Garcez, Alessandro Saffiotti, Martin H. Fischer, Alan Bundy
      Pages 35-45
    5. Jordi Bieger, Kristinn R. Thórisson, Pei Wang
      Pages 46-49
    6. Nader Chmait, David L. Dowe, David G. Green, Yuan-Fang Li
      Pages 50-59
    7. Benja Fallenstein, Nate Soares, Jessica Taylor
      Pages 60-69
    8. Ben Goertzel, Nil Geisweiller, Eddie Monroe, Mike Duncan, Selamawit Yilma, Meseret Dastaw et al.
      Pages 80-89
    9. José Hernández-Orallo
      Pages 90-100
    10. Javier Insa-Cabrera, José Hernández-Orallo
      Pages 101-110
    11. Eric Nivel, Kristinn R. Thórisson, Bas Steunebrink, Jürgen Schmidhuber
      Pages 121-130
    12. Paul S. Rosenbloom, Jonathan Gratch, Volkan Ustun
      Pages 142-151
    13. Can Eren Sezener
      Pages 152-155
    14. Abdul Rahim Nizamani, Jonas Juel, Ulf Persson, Claes Strannegård
      Pages 166-176

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 8th International Conference on Artificial General Intelligence, AGI 2015, held in Berlin, Germany in July 2015. The 41 papers were carefully reviewed and selected from 72 submissions. 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.
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.

Keywords

Reinforcement Learning algorithmic information theory artificial general intelligence artificial intelligence artificial intelligence benchmarks and evaluation cognitive architectures cognitive robotics cognitive science computer vision control methods cybernetics friendly artificial intelligence intelligent agents knowledge reasoning knowledge representation natural language processing perception and perceptual modeling philosophical foundations of artificial intelligence strong artificial intelligence theoretical foundations of artificial intelligence

Editors and affiliations

  • Jordi Bieger
    • 1
  • Ben Goertzel
    • 2
  • Alexey Potapov
    • 3
  1. 1.Reykjavik UniversityReykjavikIceland
  2. 2.Hong Kong Polytechnic UniversityHong KongHong Kong SAR
  3. 3.Mechanics and OpticsSaint Petersburg State University of Information TechnologiesSt. PetersburgRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-21365-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-21364-4
  • Online ISBN 978-3-319-21365-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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