Publication - Meta-level Reasoning in Deliberative Agents

Authors: Raja, Anita; Lesser, Victor
Title: Meta-level Reasoning in Deliberative Agents
Abstract: Deliberative agents operating in open environments must make complex real-time decisions on scheduling and coordination of domain activities. These decisions are made in the context of limited resources and uncertainty about the outcomes of activities. We describe a reinforcement learning based approach for efficient meta-level reasoning. Empirical results showing the effectiveness of meta-level reasoning in a complex domain are provided.
Keywords: Agent Control, Control, MDP, Multi-Agent Systems, Planning, Real Time, Resource Bounded, Uncertainty
Publication: Proceedings of the International Conference on Intelligent Agent Technology (IAT 2004), pp. 141 - 147
Date: September 2004
Sources: PDF: http://www.sis.uncc.edu/~anraja/PAPERS/IAT-2004.pdf
Reference: Raja, Anita; Lesser, Victor. Meta-level Reasoning in Deliberative Agents. Proceedings of the International Conference on Intelligent Agent Technology (IAT 2004), pp. 141-147. September 2004.
bibtex: 
@article{Raja-374,
  author    = "Anita Raja and Victor Lesser",
  title     = "{Meta-level Reasoning in Deliberative Agents}",
  journal   = "Proceedings of the International Conference on
               Intelligent Agent Technology (IAT 2004)",
  pages     = "141-147",
  month     = "September",
  year      = "2004",
  url       = "http://mas.cs.umass.edu/paper/374",
}