Using negotiation techniques as time-restricted scheduling policies on intelligent agents

  • Authors:

  • Patricia Maldonado;Carlos Carrascosa;Vicente Botti

  • Affiliations:

  • Universidad Politécnica de Valencia, Valencia, España;Universidad Politécnica de Valencia, Valencia, España;Universidad Politécnica de Valencia, Valencia, España

  • Venue:
  • CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
  • Year:
  • 2005

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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 (A Real-Time Intelligence System). Finally, we show some results obtained of including such methods in an agent.