On Creativity and Intelligence in Computational Systems

Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 29)

Abstract

This chapter presents an investigation of the potential for creative and intelligent computing in the domain of machine vision. It addresses such interrelated issues as randomization, dimensionality reduction, incompleteness, heuristics, as well as various representational paradigms. In particular, randomization is shown to underpin creativity, heuristics are shown to serve as the basis for intelligence, and incompleteness implies the need for heuristics in any non trivial machine vision application, among others. Furthermore, the evolution of machine vision is seen to imply the evolution of heuristics. This conclusion follows from the examples supplied herein.

Keywords

Machine Vision Computational System Signature Vector Response Vector Auditory Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.SSC-Pacific, US NavySan DiegoUSA

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