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Using Negotiation Techniques as Time-Restricted Scheduling Policies on Intelligent Agents

  • Patricia Maldonado
  • Carlos Carrascosa
  • Vicente Botti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3690)

Abstract

Tasks scheduling policies for real-time systems are generally not very flexible due to the time restrictions they have to fulfill. Nowadays, research lines to apply artificial intelligence techniques to real-time systems are becoming more relevant, because they can be used to soften tasks scheduling. In this work, we present a proposal in this line. That is, to apply negotiation techniques to optimize real-time systems decisions by increasing and improving the available information to schedule the tasks of an intelligent agent working in a real-time environment. To implement our proposal, we have used an agent working in a hard real-time environment such as \({\mathcal ARTIS}\) (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an \({\mathcal ARTIS}\) agent.

Keywords

Optional Part English Auction Dutch Auction Negotiation Technique Negotiation Method 
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-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Patricia Maldonado
    • 1
    • 2
  • Carlos Carrascosa
    • 1
  • Vicente Botti
    • 1
  1. 1.Universidad Politécnica de ValenciaValenciaEspaña
  2. 2.Universidad de MagallanesPunta ArenasChile

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