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An Introduction to Contemporary Achievements in Intelligent Systems

  • Jeffrey W. Tweedale
  • Ivan Jordanov
Part of the Studies in Computational Intelligence book series (SCI, volume 442)

Abstract

The term intelligent systems is used to describe the necessary level of performance required to achieve the system goals. Intelligence has been observed and scientifically categorized as a biological stimuli response mechanism that is provided to satisfy an intended activity.Intelligence considers cognitive aspects of human behaviour, such as perceiving, reasoning, planning, learning, communicating and innovation. As society evolved, innovative individuals invented tools to assist them in achieving better outcomes. Since the industrial revolution [1], science and mechanization have become central to many academic challenges, driving a paradigm shift from philosophy towards systems engineering techniques. This desire to improve mechanized systems created the need for improvements to automation processes. These achievements extend the pioneering efforts of others stimulating new research and developments [2]. Computational Intelligence(CI) has evolved over the past 60 years [3] with many new fields of study emerging to dissolve obstacles encountered. These attempts relate to efforts at personifying attributes of human behavior and knowledge processes within machines. The resulting Machine Intelligence [4,5] efforts stimulated the study of Artificial Intelligence(AI) [6,7] and led to the evolution of many contemporary techniques.

Keywords

Intelligent System Fuzzy Neural Network Nonlinear Activation Function American Heritage Dictionary John McCarthy 
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 2013

Authors and Affiliations

  • Jeffrey W. Tweedale
    • 1
  • Ivan Jordanov
    • 2
  1. 1.School of Electrical and Information EngineeringUniversity of South AustraliaAdelaideAustralia
  2. 2.School of ComputingUniversity of PortsmouthHampshireUnited Kingdom

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