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Computational Intelligence: An Introduction

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Computational Intelligence: A Compendium

Part of the book series: Studies in Computational Intelligence ((SCI,volume 115))

The Artificial Intelligence field continues to be plagued by what can only be described as ‘bold promises for the future syndrome’, often perpetrated by researchers who should know better.1 While impartial assessment can point to concrete contributions over the past 50 years (such as automated theorem proving, games strategies, the LISP and Prolog high-level computer languages, Automatic Speech Recognition, Natural Language Processing, mobile robot path planning, unmanned vehicles, humanoid robots, data mining, and more), the more cynical argue that AI has witnessed more than its fair share of ‘unmitigated disasters’ during this time – see, for example [3, 58, 107, 125, 186]. The general public becomes rapidly jaded with such ‘bold predictions’ that fail to live up to their original hype, and which ultimately render the zealots’ promises as counter-productive.

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  1. Intelligent Systems Research Centre, University of Wollongong, NSW, 2522, Australia

    John Fulcher

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  1. John Fulcher
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  1. School of Computer Science and Software Engineering Faculty of Informatics, University of Wollongong, Northfields Ave, Wollongong, NSW, 2522, Australia

    John Fulcher

  2. Knowledge-Based Engineering Founding Director of the KES Centre, University of South Australia, SCT-Building Mawson Lakes Campus, Adelaide, South Australia SA, 5095, Australia

    L. C. Jain

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Fulcher, J. (2008). Computational Intelligence: An Introduction. In: Fulcher, J., Jain, L.C. (eds) Computational Intelligence: A Compendium. Studies in Computational Intelligence, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78293-3_1

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  • DOI: https://doi.org/10.1007/978-3-540-78293-3_1

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