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The Optimization of What?

  • Chapter
Intelligent Decision-making Support Systems

Part of the book series: Decision Engineering ((DECENGIN))

Abstract

This chapter traces the impact of decision support methods, including those based on Artificial Intelligence concepts, from the beginning, through to the present, and concludes with proposals for the future of the profession. Most of the readers of this book are engaged in the creation of models, systems, data and knowledge bases and methodologies. These are all worthwhile tasks, and some of them are seriously complicated and tricky to do. Our goal in this chapter is to encourage colleagues to move up a gear. Since the start in 1965, members of our profession have solved several thousand problems for organizations. The next job is to tackle more worldclass issues. We have the skills and the tools to do this. The executives we work with are more computer aware than they were in the 1960s. We ourselves know more about the need for social acceptance than before. The chapter pencils in the history of the DSS concept from the start, then reviews the problems we are collectively tackling now, before moving on to consider the global scale of the challenges that lie ahead.

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Authors and Affiliations

  1. Florida International University, Miami, Florida, 33199, USA

    Andrew M. McCosh & Bertha A. Correa-Pérez

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  1. Andrew M. McCosh
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  2. Bertha A. Correa-Pérez
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© 2006 Springer-Verlag London Limited

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McCosh, A.M., Correa-Pérez, B.A. (2006). The Optimization of What?. In: Intelligent Decision-making Support Systems. Decision Engineering. Springer, London. https://doi.org/10.1007/1-84628-231-4_24

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  • DOI: https://doi.org/10.1007/1-84628-231-4_24

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-228-7

  • Online ISBN: 978-1-84628-231-7

  • eBook Packages: EngineeringEngineering (R0)

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