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Artificial General Intelligence

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

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Ben Goertzel

    1. OpenCog Foundation, Tai Po, Hong Kong

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  2. Laurent Orseau

    1. AgroParisTech, Paris, France

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  3. Javier Snaider

    1. Google Inc., Mountain View, USA

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

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

Included in the following conference series:

Conference proceedings info: AGI 2014.

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Table of contents (30 papers)

  1. Front Matter

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  2. Raising AI: Tutoring Matters

    • Jordi Bieger, Kristinn R. Thórisson, Deon Garrett
    Pages 1-10

  3. Autobiography Based Prediction in a Situated AGI Agent

    • Ladislau Bölöni
    Pages 11-20

  4. Problems of Self-reference in Self-improving Space-Time Embedded Intelligence

    • Benja Fallenstein, Nate Soares
    Pages 21-32

  5. A General Artificial Intelligence Approach for Skeptical Reasoning

    • Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure
    Pages 33-42

  6. On Effective Causal Learning

    • Seng-Beng Ho
    Pages 43-52

  7. Increasing Accuracy in a Bidirectional Associative Memory through Expended Databases

    • Melissa Johnson, Sylvain Chartier
    Pages 53-62

  8. Fusion Adaptive Resonance Theory Networks Used as Episodic Memory for an Autonomous Robot

    • Francis Leconte, François Ferland, François Michaud
    Pages 63-72

  9. Bracketing the Beetle: How Wittgenstein’s Understanding of Language Can Guide Our Practice in AGI and Cognitive Science

    • Simon D. Levy, Charles Lowney, William Meroney, Ross W. Gayler
    Pages 73-84

  10. Bounded Seed-AGI

    • Eric Nivel, Kristinn R. Thórisson, Bas R. Steunebrink, Haris Dindo, Giovanni Pezzulo, Manuel Rodríguez et al.
    Pages 85-96

  11. The Multi-slot Framework: A Formal Model for Multiple, Copiable AIs

    • Laurent Orseau
    Pages 97-108

  12. Teleporting Universal Intelligent Agents

    • Laurent Orseau
    Pages 109-120

  13. An Application of Stochastic Context Sensitive Grammar Induction to Transfer Learning

    • Eray Özkural
    Pages 121-132

  14. Making Universal Induction Efficient by Specialization

    • Alexey Potapov, Sergey Rodionov
    Pages 133-142

  15. Reinforcement Learning for Adaptive Theory of Mind in the Sigma Cognitive Architecture

    • David V. Pynadath, Paul S. Rosenbloom, Stacy C. Marsella
    Pages 143-154

  16. ARS: An AGI Agent Architecture

    • Samer Schaat, Alexander Wendt, Matthias Jakubec, Friedrich Gelbard, Lukas Herret, Dietmar Dietrich
    Pages 155-164

  17. Quantum Mechanical Foundations of Causal Entropic Forces

    • Swapnil Shah
    Pages 165-173

  18. A General System for Learning and Reasoning in Symbolic Domains

    • Claes StrannegÃ¥rd, Abdul Rahim Nizamani, Ulf Persson
    Pages 174-185

  19. Intelligence as Inference or Forcing Occam on the World

    • Peter Sunehag, Marcus Hutter
    Pages 186-195

  20. Distributed Vector Representations of Words in the Sigma Cognitive Architecture

    • Volkan Ustun, Paul S. Rosenbloom, Kenji Sagae, Abram Demski
    Pages 196-207
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About this book

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.

Editors and Affiliations

  • OpenCog Foundation, Tai Po, Hong Kong

    Ben Goertzel

  • AgroParisTech, Paris, France

    Laurent Orseau

  • Google Inc., Mountain View, USA

    Javier Snaider

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