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Decision-Making in a Distributed and Dynamically Scalable Environments

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Intelligent Decision Technology Support in Practice

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 42))

Abstract

Experiments conducted by the Knowledge-Based Intelligent Information and Engineering Systems (KES) Centre use Java to gain its many advantages, especially in a distributed and dynamically scalable environment. Interoperability within and across ubiquitous computing operations has evolved to a level where plug ‘n’ play protocols can be used to invoke common interfaces. Designers are able to create dynamic interfaces using reflectance to effectively and efficiently conduct distributed decision-making. Many applications now use mobile agents to support web-centric activities. One example includes: dynamic agent functionality within simulations that automatically adapt to incoming data and/or languages via scripts or messaging. This has been shown using demonstrations described herein. Many are web centric and involve data mining or the use of other types of Intelligent Decision Support System (IDSS) .

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Notes

  1. 1.

    The IDS provided application programmers with a set of powerful commands to manipulate data, using an early set of expressions that would soon be called a Data Manipulation Language. This was also used by SAGE and considered to be the first DSS.

  2. 2.

    This is the logic center contains the actuators and reference limits which are used to decide to heat or cool.

  3. 3.

    McCarthy developed LISP, enabling Bachman to create the first database management system which was converted into an Intelligent Decision Support (IDS) application called SAGE, while Feighambaum labelled his expert system DENDRAL.

  4. 4.

    An Agent with the capacity to avoid collisions or optimize path finding would retain specific functions, however data and context used to achieve these would be derived and stored centrally.

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Author information

Authors and Affiliations

  1. Aerospace Division, Defence Science and Technology Organization, Edinburgh, Adelaide, Australia

    Jeffrey W. Tweedale

  2. School of Engineering, University of South Australia, Adelaide, Australia

    Jeffrey W. Tweedale

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  1. Jeffrey W. Tweedale
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Correspondence to Jeffrey W. Tweedale .

Editor information

Editors and Affiliations

  1. School of Engineering, KES Centre, University of South Australia , Adelaide, South Australia, Australia

    Jeffrey W. Tweedale

  2. FCT Campus, UNINOVA, Caparica, Portugal

    Rui Neves-Silva

  3. School of Engineering, University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  4. Sellinger School of Business and Management, Loyola University Maryland, Baltimore, Maryland, USA

    Gloria Phillips-Wren

  5. Graduate School of IPS, Waseda University, Fukuoka, Japan

    Junzo Watada

  6. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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Tweedale, J.W. (2016). Decision-Making in a Distributed and Dynamically Scalable Environments. In: Tweedale, J., Neves-Silva, R., Jain, L., Phillips-Wren, G., Watada, J., Howlett, R. (eds) Intelligent Decision Technology Support in Practice. Smart Innovation, Systems and Technologies, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-21209-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-21209-8_7

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