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Part of the book series: Adaptation, Learning, and Optimization ((ALO,volume 10))

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Abstract

This chapter presents a brief introduction to existing research in Knowledge-Based engineering to achieve automation using IAs. It defines how the term intelligence is determined and the tools used to exploit human machine interaction. So what is Intelligence, why use AI and which architecture provides the best choice of tools. A whole field of science has developed around AI and is based predominantly on computer technology and the enhancements used to develop their capability. The literature illustrates the evolution of the key sciences used to support AI and distinguishes between human, machine and the architectures required to solve problems. Disruptions in developing AI techniques bounded with insertion of new technology, but most were focused on commercial applications, other than niche domains like AI.

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© 2011 Springer-Verlag Berlin Heidelberg

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Tweedale, J.W., Jain, L.C. (2011). Research Directions in Automation. In: Embedded Automation in Human-Agent Environment. Adaptation, Learning, and Optimization, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22676-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-22676-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22675-5

  • Online ISBN: 978-3-642-22676-2

  • eBook Packages: EngineeringEngineering (R0)

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