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International Symposium on Methodologies for Intelligent Systems

ISMIS 1996: Foundations of Intelligent Systems pp 149–157Cite as

On evolving intelligence

  • Communications Session 2A Invited Session on Evolutionary Computation
  • Conference paper
  • First Online:

  • 153 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1079))

Abstract

The field of AI is now more than 30 years old and has produced a variety of impressive intelligent systems as well as some striking failures. As we continue to raise our goals and expectations, it becomes increasingly clear that simple, single methodology approaches are inadequate. However, the design and implementation of complex, multifaceted systems is quite difficult in general, and there are signs that we are reaching the limits of our ability to hand-construct such AI systems. In this paper I argue that evolutionary algorithms have considerable potential for the design of such systems and that we need to seriously consider the notion of evolving intelligence.

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Author information

Authors and Affiliations

  1. Department of Computer Science, George Mason University, 22030, Fairfax, VA, USA

    Kenneth A. De Jong

Authors
  1. Kenneth A. De Jong
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Editor information

Zbigniew W. Raś Maciek Michalewicz

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© 1996 Springer-Verlag Berlin Heidelberg

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De Jong, K.A. (1996). On evolving intelligence. In: Raś, Z.W., Michalewicz, M. (eds) Foundations of Intelligent Systems. ISMIS 1996. Lecture Notes in Computer Science, vol 1079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61286-6_140

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  • DOI: https://doi.org/10.1007/3-540-61286-6_140

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61286-5

  • Online ISBN: 978-3-540-68440-4

  • eBook Packages: Springer Book Archive

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