Publication - Evolving Real-Time Local Agent Control for Large-Scale MAS

Authors: Wagner, Thomas; Lesser, Victor
Title: Evolving Real-Time Local Agent Control for Large-Scale MAS
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.
Keywords: Multi-Agent Systems
Publication: Proceedings of Fifth International Conference on Autonomous Agents, pp. 17 - 18
Publisher: ACM Press
Date: January 2001
Sources: PDF: /Documents/Wagner/wagner_evolving_01.pdf
Reference: Wagner, Thomas; Lesser, Victor. Evolving Real-Time Local Agent Control for Large-Scale MAS. Proceedings of Fifth International Conference on Autonomous Agents, ACM Press, pp. 17-18. January 2001.
bibtex:
@article{Wagner-207,
  author    = "Thomas Wagner and Victor Lesser",
  title     = "{Evolving Real-Time Local Agent Control for
               Large-Scale MAS}",
  journal   = "Proceedings of Fifth International Conference on
               Autonomous Agents",
  publisher = "ACM Press",
  pages     = "17-18",
  month     = "January",
  year      = "2001",
  url       = "http://mas.cs.umass.edu/paper/207",
}