Theoretical Foundations of Artificial General Intelligence
Volume 4 of the series Atlantis Thinking Machines pp 11-24
Artificial Intelligence and Cognitive Modeling Have the Same Problem
- Nicholas L. CassimatisAffiliated withDepartment of Cognitive Science, Rensselaer Polytechnic Institute Email author
Abstract
Cognitive modelers attempting to explain human intelligence share a puzzle with artificial intelligence researchers aiming to create computers that exhibit human-level intelligence: how can a system composed of relatively unintelligent parts (such as neurons or transistors) behave intelligently? I argue that although cognitive science has made significant progress towards many of its goals, that solving the puzzle of intelligence requires special standards and methods in addition to those already employed in cognitive science. To promote such research, I suggest creating a subfield within cognitive science called intelligence science and propose some guidelines for research addressing the intelligence puzzle.
- Title
- Artificial Intelligence and Cognitive Modeling Have the Same Problem
- Book Title
- Theoretical Foundations of Artificial General Intelligence
- Pages
- pp 11-24
- Copyright
- 2012
- DOI
- 10.2991/978-94-91216-62-6_2
- Print ISBN
- 978-94-91216-61-9
- Online ISBN
- 978-94-91216-62-6
- Series Title
- Atlantis Thinking Machines
- Series Volume
- 4
- Series ISSN
- 1877-3273
- Publisher
- Atlantis Press
- Copyright Holder
- ATLANTIS PRESS
- Additional Links
- Topics
- Industry Sectors
- eBook Packages
- Editors
-
- Pei Wang (ID1)
- Ben Goertzel (ID2)
- Editor Affiliations
-
- ID1. , Department of Computer, Temple University
- ID2. Biomind LLC, Novamente LLC/
- Authors
- Author Affiliations
-
- 1. Department of Cognitive Science, Rensselaer Polytechnic Institute, 108 Carnegie, 110 8th Street, Troy, NY, 12180, USA
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