Publication - Evolving Real-Time Local Agent Control for Large-Scale Multi-Agent Systems

Authors: Wagner, T.; Lesser, V.
Title: Evolving Real-Time Local Agent Control for Large-Scale Multi-Agent Systems
Abstract: Control for agents situated in Multi-agent systems is a complex problem. This is particularly true in hard, open, dynamic environments where resource, privacy, bandwidth, and computational limitations impose restrictions on the type of information that agents may share and the control problem solving options available to agents. The MQ or motivational quantities framework addresses these issues by evaluating candidate tasks based on the agentís organizational context and by framing control as a local agent optimization problem that approximates the global problem through the use of state and preference.
Publication: Intelligent Agents VIII: Agent Theories, Architectures, and Languages, Vol: 2333, pp. 51 - 68
Editor: J. Meyer & M. Tambe
Publisher: Springer-Verlag
Date: August 2002
Sources: PDF: /Documents/Wagner/wagner_02.pdf
Reference: Wagner, T.; Lesser, V.. Evolving Real-Time Local Agent Control for Large-Scale Multi-Agent Systems. Intelligent Agents VIII: Agent Theories, Architectures, and Languages, Volume 2333, J. Meyer & M. Tambe, ed., Springer-Verlag, pp. 51-68. August 2002.
bibtex:
@article{Wagner-301,
  author    = "T. Wagner and V. Lesser",
  title     = "{Evolving Real-Time Local Agent Control for
               Large-Scale Multi-Agent Systems}",
  journal   = "Intelligent Agents VIII: Agent Theories,
               Architectures, and Languages",
  volume    = "2333",
  editor    = "J. Meyer \& M. Tambe",
  publisher = "Springer-Verlag",
  pages     = "51-68",
  month     = "August",
  year      = "2002",
  url       = "http://mas.cs.umass.edu/paper/301",
}