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Using Autonomous Software Agents in Decision Support Systems

In: Handbook on Decision Support Systems 1

Author

Listed:
  • Traci J. Hess

    (Washington State University)

  • Loren Paul Rees

    (Virginia Polytechnic Institute and State University)

  • Terry R. Rakes

    (Virginia Polytechnic Institute and State University)

Abstract

The purpose of this research is to define autonomous software agents, and describe a general framework for the use of agents in decision support systems (DSS). Because definitions of software agents extant in the literature are divergent, we develop and provide a descriptive definition useful for our purpose. The benefits of agents and the particular characteristics of agents leading to DSS enrichment are examined. To facilitate this we build a DSS, described elsewhere in the literature, and enhance it with different types of autonomous software agents. From this experience, a general framework for agent-enabled DSS is suggested.

Suggested Citation

  • Traci J. Hess & Loren Paul Rees & Terry R. Rakes, 2008. "Using Autonomous Software Agents in Decision Support Systems," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 1, chapter 25, pages 529-555, Springer.
    • Handle: RePEc:spr:ihichp:978-3-540-48713-5_25
    DOI: 10.1007/978-3-540-48713-5_25
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    Cited by:

    1. Matthias Seitz & Felix Gehlhoff & Luis Alberto Cruz Salazar & Alexander Fay & Birgit Vogel-Heuser, 2021. "Automation platform independent multi-agent system for robust networks of production resources in industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 2023-2041, October.

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