Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots

Generalized intelligence is much more difficult than originally anticipated when Artificial Intelligence (AI) was first introduced in the early 1960s. Deep Blue, the chess playing supercomputer, was developed to defeat the top rated human chess player and successfully did so by defeating Gary Kaspor...

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Main Authors: Troy D. Kelley, Lyle N. Long
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2010/523757
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author Troy D. Kelley
Lyle N. Long
author_facet Troy D. Kelley
Lyle N. Long
author_sort Troy D. Kelley
collection DOAJ
description Generalized intelligence is much more difficult than originally anticipated when Artificial Intelligence (AI) was first introduced in the early 1960s. Deep Blue, the chess playing supercomputer, was developed to defeat the top rated human chess player and successfully did so by defeating Gary Kasporov in 1997. However, Deep Blue only played chess; it did not play checkers, or any other games. Other examples of AI programs which learned and played games were successful at specific tasks, but generalizing the learned behavior to other domains was not attempted. So the question remains: Why is generalized intelligence so difficult? If complex tasks require a significant amount of development, time and task generalization is not easily accomplished, then a significant amount of effort is going to be required to develop an intelligent system. This approach will require a system of systems approach that uses many AI techniques: neural networks, fuzzy logic, and cognitive architectures.
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spelling doaj-art-4039a0cc991944d99b0cd340d0865f722025-02-03T01:01:17ZengWileyJournal of Robotics1687-96001687-96192010-01-01201010.1155/2010/523757523757Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile RobotsTroy D. Kelley0Lyle N. Long1U.S. Army Research Laboratory, AMSRD-ARL-HR-SE, Aberdeen Proving Ground, MD 21005-5425, USADepartment of Engineering and Mathematics, The Pennsylvania State University, University Park, PA 16802, USAGeneralized intelligence is much more difficult than originally anticipated when Artificial Intelligence (AI) was first introduced in the early 1960s. Deep Blue, the chess playing supercomputer, was developed to defeat the top rated human chess player and successfully did so by defeating Gary Kasporov in 1997. However, Deep Blue only played chess; it did not play checkers, or any other games. Other examples of AI programs which learned and played games were successful at specific tasks, but generalizing the learned behavior to other domains was not attempted. So the question remains: Why is generalized intelligence so difficult? If complex tasks require a significant amount of development, time and task generalization is not easily accomplished, then a significant amount of effort is going to be required to develop an intelligent system. This approach will require a system of systems approach that uses many AI techniques: neural networks, fuzzy logic, and cognitive architectures.http://dx.doi.org/10.1155/2010/523757
spellingShingle Troy D. Kelley
Lyle N. Long
Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots
Journal of Robotics
title Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots
title_full Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots
title_fullStr Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots
title_full_unstemmed Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots
title_short Deep Blue Cannot Play Checkers: The Need for Generalized Intelligence for Mobile Robots
title_sort deep blue cannot play checkers the need for generalized intelligence for mobile robots
url http://dx.doi.org/10.1155/2010/523757
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