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© 2014

Artificial General Intelligence

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

  • Ben Goertzel
  • Laurent Orseau
  • Javier Snaider
Conference proceedings AGI 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8598)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8598)

Table of contents

  1. Naveen Sundar Govindarajulu, John Licato, Selmer Bringsjord
    Pages 228-233
  2. Renato Lenz Costalima, Amauri Holanda Souza Junior, Cidcley Teixeira de Souza, Gustavo Augusto Lima de Campos
    Pages 234-237
  3. Cosmo Harrigan, Ben Goertzel, Matthew Iklé, Amen Belayneh, Gino Yu
    Pages 238-241
  4. Kevin Raison, Steve Lytinen
    Pages 250-253
  5. Banafsheh Rekabdar, Monica Nicolescu, Richard Kelley, Mircea Nicolescu
    Pages 254-257
  6. Christophe Tremblay, Bradley Harding, Sylvain Chartier, Denis Cousineau
    Pages 258-261
  7. Michael O. Vertolli, Matthew A. Kelly, Jim Davies
    Pages 262-265
  8. Back Matter

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 algorithm analysis and problem complexity

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